Hire the Best Informatica Cloud Developers

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Vivekk J.

Chennai, India

$40/hr
5.0
22 jobs

• Having more than decade of work experience with data. • 11 plus years of strong work experience in Informatica tools. • Good experience in Powercenter, IICS, DEI/BDM, IDQ, EDC, Axon and CDGC. • Extensively worked with different data sources: non-relational sources such as delimited and fixed width flat files and relational sources like Oracle, Snowflake and Sales Force • Had Experience in Data Modeling using Star/Snowflake modeling, Fact and Dimension tables. • Good exposure in Data Warehousing concepts and creation of logical and physical models • Had knowledge on Kimball/Inmon methodologies. • Familiar with UNIX command and shell scripting.

  • Informatica Cloud
  • Informatica
  • SQL
  • Snowflake
  • Hive
  • Axon
  • Informatica Data Quality
  • Unix
  • Data Warehousing & ETL Software
  • Data Warehousing
Muhammad H.

Karachi, Pakistan

$10/hr
5.0
1 jobs

Slow pipelines, unreliable data, or a warehouse that breaks every time the source changes? I build data systems that don't. I'm a 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗲𝗱 𝗙𝗮𝗯𝗿𝗶𝗰 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 with 5 years of experience delivering end-to-end data engineering and BI solutions. I currently work at Pakistan's largest payment gateway, a high volume fintech environment where 𝗧𝗕-𝘀𝗰𝗮𝗹𝗲 𝘁𝗿𝗮𝗻𝘀𝗮𝗰𝘁𝗶𝗼𝗻𝗮𝗹 𝗱𝗮𝘁𝗮, strict governance, and zero tolerance for pipeline failures are the daily reality. My specialty is building systems that are 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝗲𝗱 𝗽𝗿𝗼𝗽𝗲𝗿𝗹𝘆 𝗳𝗿𝗼𝗺 𝘁𝗵𝗲 𝘀𝘁𝗮𝗿𝘁 metadata-driven, layered, monitored, and built to scale. 𝗪𝗛𝗔𝗧 𝗜 𝗕𝗨𝗜𝗟𝗗 ✦ 𝗠𝗲𝘁𝗮𝗱𝗮𝘁𝗮-𝗗𝗿𝗶𝘃𝗲𝗻 𝗘𝗧𝗟/𝗘𝗟𝗧 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 Control logic lives in configuration, not hardcoded. One framework handles dozens of sources with built-in logging, error handling, and restartability. Proven: reduced ETL runtime by 𝟯𝟴% on a production enterprise warehouse by eliminating redundant mapping layers. ✦ 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗗𝗮𝘁𝗮 𝗪𝗮𝗿𝗲𝗵𝗼𝘂𝘀𝗲 𝗗𝗲𝘀𝗶𝗴𝗻 End-to-end warehouse design across 𝗦𝘁𝗮𝗴𝗶𝗻𝗴 → 𝗖𝗼𝗿𝗲 → 𝗚𝗼𝗹𝗱 (Medallion Architecture), with star/snowflake schema modeling, incremental loading, duplicate handling, and structured audit logging baked in. ✦ 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗙𝗮𝗯𝗿𝗶𝗰 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 Lakehouse and Warehouse design on OneLake, Fabric Data Factory pipelines, semantic models with 𝗥𝗼𝘄-𝗟𝗲𝘃𝗲𝗹 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 (𝗥𝗟𝗦), and report publishing as Fabric Apps for internal teams and external stakeholders. ✦ 𝗔𝘇𝘂𝗿𝗲 & 𝗗𝗮𝘁𝗮𝗯𝗿𝗶𝗰𝗸𝘀 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 ADF orchestrated cloud pipelines and PySpark based distributed data processing on Databricks for large-scale, partitioned datasets. ✦ 𝗣𝗼𝘄𝗲𝗿 𝗕𝗜 & 𝗦𝗦𝗥𝗦 𝗥𝗲𝗽𝗼𝗿𝘁𝗶𝗻𝗴 Semantic model design, DAX measures, drill-through dashboards, RLS enforcement, SSRS and Report Builder reports, and Fabric App deployment for enterprise stakeholders. ✦ 𝗟𝗲𝗴𝗮𝗰𝘆 𝗠𝗜𝗦 𝗠𝗶𝗴𝗿𝗮𝘁𝗶𝗼𝗻 Migrated 20+ reports from legacy systems into a centralized, modern BI architecture without disrupting ongoing operations. 𝗥𝗘𝗖𝗘𝗡𝗧 𝗥𝗘𝗦𝗨𝗟𝗧𝗦 • Reduced ETL runtime by 𝟯𝟴% (4 hrs → 2.5 hrs) by optimizing metadata-driven SSIS pipelines • Built automated SFTP ingestion pipelines with archive logic to ensure 𝗶𝗻𝗰𝗿𝗲𝗺𝗲𝗻𝘁𝗮𝗹, 𝗱𝘂𝗽𝗹𝗶𝗰𝗮𝘁𝗲-𝗳𝗿𝗲𝗲 data loading • Delivered 𝗺𝘂𝗹𝘁𝗶𝗽𝗹𝗲 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗗𝗮𝘁𝗮 𝗪𝗮𝗿𝗲𝗵𝗼𝘂𝘀𝗲𝘀 supporting different business products across fintech, billing, and payments • Published 𝟭𝟱+ 𝗣𝗼𝘄𝗲𝗿 𝗕𝗜 𝗿𝗲𝗽𝗼𝗿𝘁𝘀 as Fabric Apps with Row Level Security for external stakeholders • Onboarded 10+ new source tables into a redesigned data warehouse while improving ETL performance and storage efficiency • Worked extensively with 𝗧𝗕-𝘀𝗰𝗮𝗹𝗲 𝘁𝗿𝗮𝗻𝘀𝗮𝗰𝘁𝗶𝗼𝗻𝗮𝗹 𝗱𝗮𝘁𝗮 in a high-volume payment processing environment. 𝗖𝗢𝗥𝗘 𝗦𝗧𝗔𝗖𝗞 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗙𝗮𝗯𝗿𝗶𝗰 | 𝗔𝘇𝘂𝗿𝗲 𝗗𝗮𝘁𝗮 𝗙𝗮𝗰𝘁𝗼𝗿𝘆 | 𝗔𝘇𝘂𝗿𝗲 𝗗𝗮𝘁𝗮𝗯𝗿𝗶𝗰𝗸𝘀 | 𝗣𝘆𝗦𝗽𝗮𝗿𝗸 | 𝗔𝗽𝗮𝗰𝗵𝗲 𝗦𝗽𝗮𝗿𝗸 | 𝗦𝗦𝗜𝗦 | 𝗦𝗤𝗟 𝗦𝗲𝗿𝘃𝗲𝗿 | 𝗢𝗿𝗮𝗰𝗹𝗲 | 𝗣𝗼𝘀𝘁𝗴𝗿𝗲𝗦𝗤𝗟 | 𝗣𝗼𝘄𝗲𝗿 𝗕𝗜 | 𝗦𝗦𝗥𝗦 | 𝗧-𝗦𝗤𝗟 | 𝗣𝗟/𝗦𝗤𝗟 | 𝗗𝗮𝘁𝗮 𝗪𝗮𝗿𝗲𝗵𝗼𝘂𝘀𝗶𝗻𝗴 | 𝗠𝗲𝗱𝗮𝗹𝗹𝗶𝗼𝗻 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 | 𝗦𝘁𝗮𝗿 𝗦𝗰𝗵𝗲𝗺𝗮 | 𝗦𝗻𝗼𝘄𝗳𝗹𝗮𝗸𝗲 𝗦𝗰𝗵𝗲𝗺𝗮 | 𝗘𝗧𝗟/𝗘𝗟𝗧 | 𝗟𝗮𝗸𝗲𝗵𝗼𝘂𝘀𝗲 𝗕𝗘𝗦𝗧-𝗙𝗜𝗧 𝗣𝗥𝗢𝗝𝗘𝗖𝗧𝗦 • Data warehouse or lakehouse design from scratch • ETL/ELT pipeline build, optimization, or troubleshooting • Microsoft Fabric or Azure migration from legacy on-prem systems • Power BI, SSRS, or Fabric App reporting solutions • SQL performance tuning, stored procedures, and indexing • Production pipeline monitoring, job scheduling, and failure resolution 𝗛𝗢𝗪 𝗜 𝗪𝗢𝗥𝗞 I understand your business process, data sources, and reporting needs first. Then I design a practical architecture, build clean and observable pipelines, validate the data, and deliver reporting ready models your team can actually trust with 𝗹𝗼𝗴𝗴𝗶𝗻𝗴, 𝗲𝗿𝗿𝗼𝗿 𝗵𝗮𝗻𝗱𝗹𝗶𝗻𝗴, and 𝗷𝗼𝗯 𝘀𝗰𝗵𝗲𝗱𝘂𝗹𝗶𝗻𝗴 built in from day one, not added as an afterthought. 📩 𝗦𝗲𝗻𝗱 𝗺𝗲 𝗮 𝗺𝗲𝘀𝘀𝗮𝗴𝗲 𝘄𝗶𝘁𝗵 𝘆𝗼𝘂𝗿 𝗽𝗿𝗼𝗷𝗲𝗰𝘁 𝗱𝗲𝘁𝗮𝗶𝗹𝘀. 𝗜 𝗿𝗲𝘀𝗽𝗼𝗻𝗱 𝗾𝘂𝗶𝗰𝗸𝗹𝘆 𝗮𝗻𝗱 𝘄𝗶𝗹𝗹 𝗼𝘂𝘁𝗹𝗶𝗻𝗲 𝗮 𝗰𝗹𝗲𝗮𝗿 𝗮𝗽𝗽𝗿𝗼𝗮𝗰𝗵 𝗳𝗼𝗿 𝘆𝗼𝘂𝗿 𝗽𝗿𝗼𝗷𝗲𝗰𝘁.

  • Data Engineering
  • ETL Pipeline
  • Microsoft Azure
  • Microsoft Power BI
  • Databricks Platform
  • Data Warehousing
  • Data Lake
  • SQL
  • Data Modeling
  • SQL Server Integration Services
  • SQL Server Reporting Services
  • Microsoft SQL Server
  • Oracle
  • Fabric
  • Database Development
  • PySpark
  • Business Intelligence
  • PostgreSQL
  • Microsoft Power BI Data Visualization
  • Big Data
Shivam W.

Shahdara, India

$20/hr
5.0
8 jobs

I'm a Senior Data Engineer with 4.5+ years of experience building scalable, cloud-native data platforms that turn raw data into reliable, business-ready insights. I've delivered enterprise solutions across banking (NAB), healthcare (Molina), and CPG (PepsiCo), specializing in end-to-end pipeline architecture, data modeling, and cloud migrations. What I bring to your project: 🔹 Cloud Data Engineering – Deep expertise in Azure (Databricks, Data Factory, Synapse) and AWS (EMR, Glue, S3, RedShift), with hands-on migration experience from on-prem and Teradata to cloud. 🔹 Pipeline Architecture & ETL – I design and build robust ingestion frameworks handling batch, incremental, and real-time data (Event Hub, Kafka) across formats like JSON, CSV, Parquet, and fixed-width files. 🔹 Data Modeling & Warehousing – Skilled in dimensional modeling, Data Vault, star/snowflake schemas, and silver/gold layer design. I've modeled 50+ tables across Oracle Fusion, SAP S/4, and healthcare domains. 🔹 Transformation & Orchestration – I translate complex business rules into DBT models, orchestrate workflows with Apache Airflow or AutoSys, and automate CI/CD via Jenkins and Azure DevOps. 🔹 Performance & Governance – I tune PostgreSQL and Spark jobs, implement data quality checks, reconciliation frameworks, and ensure compliance with data governance standards. 🔹 Generative AI & MLOps – Databricks-certified in Generative AI, with experience integrating MLflow for experiment tracking and building LLM-based automation using OpenAI and LangChain. Tech Stack: Python | SQL | Scala | Apache Spark | DBT | PostgreSQL | Snowflake | Airflow | Databricks | Azure | AWS | Git | Jenkins | MLflow | Power BI Certifications: Databricks Certified Data Engineer Professional | Azure Data Engineer (DP-203) | Snowflake SnowPro Core | Fabric Analytics Engineer (DP-600) | Generative AI Engineer Associate Whether you need a production-grade pipeline, a cloud migration, or a well-modeled data warehouse, I deliver clean, documented, and scalable solutions — on time and with clear communication. Let's discuss your project!

  • Data Extraction
  • Data Mining
  • Artificial Intelligence
  • ETL Pipeline
  • Machine Learning
  • Database Design
  • Database Modeling
  • PySpark
  • Databricks Platform
  • Snowflake
  • Data Warehousing
  • Apache Airflow
  • Python
  • Web Scraping
  • Data Engineering
  • Generative AI
  • Exploratory Data Analysis
  • Scala
  • Data Integration
Waleed A.

Lahore, Pakistan

$30/hr
5.0
15 jobs

Certified Data Engineer with over 8 years of expertise in Data Warehousing, ETL, Big Data, and Data Visualization. I have a proven record of delivering high-quality, on-time projects across industries like healthcare, e-commerce, and real estate. My broad experience and technical proficiency allow me to design tailored data solutions that align with specific business needs, helping organizations gain actionable insights and optimize operations. 🔍 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞: 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 / 𝐃𝐚𝐭𝐚 𝐖𝐚𝐫𝐞𝐡𝐨𝐮𝐬𝐢𝐧𝐠: Skilled in designing robust Enterprise Data Warehouses (EDW) using ETL tools and databases for secure, scalable data solutions. 𝐄𝐓𝐋 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐞𝐬: Proficient in developing reliable ETL pipelines and integrating diverse data sources for quality, consistent data flow. 𝐁𝐢𝐠 𝐃𝐚𝐭𝐚 & 𝐂𝐥𝐨𝐮𝐝 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬: Experienced with Big Data technologies like Hadoop and cloud platforms such as GCP, Azure, and AWS, ensuring efficient, scalable data processing. 𝐃𝐚𝐭𝐚 𝐕𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧: Adept at creating impactful dashboards using tools like Tableau, Power BI, and Looker Studio, turning complex data into actionable insights. 🔧 𝐒𝐤𝐢𝐥𝐥𝐬: 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬: Vertica, MySQL, BigQuery, Redshift, IBM DB2, Neo4J, SQL Server 𝐄𝐓𝐋 & 𝐃𝐚𝐭𝐚 𝐈𝐧𝐠𝐞𝐬𝐭𝐢𝐨𝐧 𝐓𝐨𝐨𝐥𝐬: Talend Open Studio, IBM InfoSphere DataStage, Pentaho, Airflow, Data Build Tool (dbt), Kafka, Spark, AWS Glue, Azure Data Factory, Google Cloud Dataflow, Stitch, Fivetran, Howo 𝐁𝐈 𝐓𝐨𝐨𝐥𝐬:Tableau, Power BI, Looker Studio 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞𝐬: SQL, Python 𝐂𝐥𝐨𝐮𝐝 & 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧: GCP, AWS, Azure, API Integration (Screaming Frog, AWR, Google Ads, Citrio Ads, Hubspot, Facebook, Apollo) and analytics tools like GA4, Google Search Console) 📚 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬: 𝟏. Vertica Certified Professional Essentials 9.x 𝟐. IBM DataStage V11.5.x 𝟑. Microsoft Power BI Data Analyst (PL-300) 𝟒. Vertica Certified Professional Essentials 9.x 𝟓. GCP Professional Data Engineer 𝟔. IBM DataStage V11.5.x 💡 𝐖𝐡𝐲 𝐂𝐨𝐥𝐥𝐚𝐛𝐨𝐫𝐚𝐭𝐞 𝐰𝐢𝐭𝐡 𝐌𝐞? 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐏𝐫𝐨𝐟𝐢𝐜𝐢𝐞𝐧𝐜𝐲: I leverage the latest in data engineering and visualization tools to ensure optimal project performance. 𝐐𝐮𝐚𝐥𝐢𝐭𝐲 𝐖𝐨𝐫𝐤 & 𝐄𝐱𝐜𝐞𝐥𝐥𝐞𝐧𝐜𝐞: Committed to delivering high-quality, dependable solutions that consistently exceed expectations and support sustainable growth. 𝐂𝐫𝐨𝐬𝐬-𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐲 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞: My experience spans multiple industries, allowing me to customize solutions to fit diverse business needs. Let’s connect and explore how I can help you achieve your data goals!

  • Tableau
  • SQL
  • Business Intelligence
  • Big Data
  • Apache Hive
  • Talend Data Integration
  • Apache Hadoop
  • Vertica
  • Google Cloud Platform
  • dbt
  • Python
Waqas B.

Sharjah, United Arab Emirates

$50/hr
5.0
11 jobs

𝗢𝘃𝗲𝗿𝘃𝗶𝗲𝘄: With over 16 years of experience in Data Engineering, Cloud Solutions, and Enterprise Architecture, I am a seasoned professional specializing in designing and implementing high-impact data solutions. I have a proven track record of architecting scalable, cloud-native infrastructures and leading cross-functional teams to deliver complex projects on time and within budget. My focus is on crafting innovative data strategies that align with business goals, streamline workflows, and unlock valuable insights for clients. I work closely with clients to understand their unique challenges and deliver tailored, end-to-end solutions across industries such as Finance, Healthcare, Retail, and Real Estate. My expertise spans data integration, cloud migration, data governance, and business intelligence, ensuring robust and future-proof solutions. 𝗠𝘆 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀 & 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 • Solution Design & Architecture • Cloud Migration & Strategy • Data Integration & ETL Development • Data Governance & Quality Assurance • Analytics & Business Intelligence • Database Optimization • Team Leadership & Project Oversight • Client Engagement & Strategic Consulting 𝗦𝗸𝗶𝗹𝗹𝘀: • 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲: Expert in designing end-to-end data architectures, optimizing cloud infrastructures, and defining technology roadmaps for scalable solutions. • 𝗖𝗹𝗼𝘂𝗱 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀: Advanced expertise in AWS, Azure, and Google Cloud, specializing in cloud-native solutions, serverless architecture, and cost optimization. • 𝗗𝗮𝘁𝗮 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 & 𝗘𝗧𝗟 𝗧𝗼𝗼𝗹𝘀: Strategic knowledge of ETL tools (Informatica, Pentaho, Talend, Azure Data Factory, AWS Glue) to plan and oversee efficient, modern data workflows. • 𝗗𝗮𝘁𝗮 𝗚𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲 & 𝗤𝘂𝗮𝗹𝗶𝘁𝘆: Skilled in implementing comprehensive data quality frameworks and governance practices to ensure reliable, accurate data delivery. • 𝗧𝗲𝗮𝗺 𝗟𝗲𝗮𝗱𝗲𝗿𝘀𝗵𝗶𝗽: Proven ability to lead and mentor high-performance data engineering teams, driving collaboration and achieving project milestones. • 𝗗𝗮𝘁𝗮 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴 & 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀: Proficient in developing complex data models and overseeing analytics projects using dbt, Looker, and Apache Superset. • 𝗥𝗲𝗽𝗼𝗿𝘁𝗶𝗻𝗴 & 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻: Extensive experience in guiding teams to build advanced dashboards using Power BI, Tableau, Looker, and Google Data Studio. • 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻: Expertise in cloud-based databases (Snowflake, BigQuery, AWS Redshift, Amazon Aurora) with a focus on performance tuning and cost efficiency. 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀 • 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻 𝗗𝗲𝘀𝗶𝗴𝗻: Led the design and architecture of large-scale Data Warehouse projects for clients across the US, Europe, and the Middle East, implementing advanced data engineering frameworks and cloud-native solutions. • 𝗖𝗹𝗼𝘂𝗱 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝘆 & 𝗠𝗶𝗴𝗿𝗮𝘁𝗶𝗼𝗻: Spearheaded the migration of legacy systems to serverless cloud infrastructures, enhancing scalability and reducing costs by up to 40%. • 𝗗𝗮𝘁𝗮 𝗠𝗲𝘀𝗵 𝗜𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻: Introduced data mesh principles, fostering data ownership and democratization across business units, resulting in faster, more agile data delivery. • 𝗧𝗲𝗮𝗺 𝗟𝗲𝗮𝗱𝗲𝗿𝘀𝗵𝗶𝗽 & 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗢𝘃𝗲𝗿𝘀𝗶𝗴𝗵𝘁: Managed cross-functional teams, providing strategic direction and ensuring high-quality deliverables for complex data modernization projects.

  • Informatica
  • Tableau
  • Business Intelligence
  • Amazon S3
  • Data Warehousing
  • ETL
  • SQL Server Integration Services
  • Teradata
  • Pentaho
  • AWS Glue
  • Amazon Redshift
  • Microsoft Azure
  • Google Cloud Platform
Imran H.

Islamabad, Pakistan

$30/hr
4.9
24 jobs

I am a Data Engineer with 9+ years of experience in ETL, BI, and DWH. Having excellent analytical & design skills, a focused approach, a professional attitude to work, and working at the eastern standard time will make me the perfect candidate that you are looking for! Profile: • Proficient in building data pipelines with Python, Snowflake, and Airflow • Hand-on experience on DBT Pentaho Data Integration, Informatica • Exposure to large data volumes in major database systems like Snowflake, Postgres, Redshift • Deep knowledge of SQL, and Reporting experience in Tableau, Power BI, Sigma • Experience in working in Agile Environments like JIRA, Trello • Working knowledge of complete Data warehouse development life cycle My skills include: - Databases: Snowflake, PostgreSQL, Big Query, Amazon Redshift and SQL Server - Data integration: DBT, Pentaho, Informatica, Talend & SSIS - Data visualization: Sigma, Looker, Tableau and Power BI - Release management and version control using GIT and BitBucket - API Integration: Zoho API, Adwords API, Facebook API, and SugarCRM API - Language: Python, Java, and C# I believe that clear, transparent, and regular communication goes hand in hand with project success. Looking forward to working with you!

  • SQL
  • Python
  • Data Engineering
  • ETL
  • ETL Pipeline
  • Data Warehousing & ETL Software
  • Data Warehousing
  • dbt
  • AWS Glue
  • AWS Lambda
  • Snowflake
  • BigQuery
  • PostgreSQL
  • Data Lake
  • Apache Airflow

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Don't just take our word for it

What does an Informatica cloud developer do?

An Informatica cloud developer builds and deploys data integration solutions on the Informatica Intelligent Cloud Services platform. This specialist uses the Informatica Developer tool to create connections, import metadata, and design mappings that move data between systems. They configure these objects so they run correctly within the cloud environment and automate delivery processes when needed.

  • Design and implement data integration solutions by creating projects and folders in Informatica Developer. You define integration connections and import metadata to build data integration objects and mappings that support specific business workflows.
  • Manage integration connections used by various projects and services. You ensure these connections are available and properly configured in Informatica Administrator so that data flows remain stable and secure during execution.
  • Deploy and update integration components so they become available for execution by Informatica Cloud services. You use deployment steps to push application objects from development to production environments and verify they run as intended.
  • Automate delivery and operations using the Data Integration Service REST API or infacmd command-line tools. You build CI/CD-style automation assets that handle repetitive deployment tasks and reduce manual effort in managing integration lifecycles.

How to hire an Informatica cloud developer on Upwork

Step 1: Post a job

Define your data integration needs clearly to attract qualified candidates. Use the Job Post Generator powered by Uma™, Upwork's Mindful AI to draft a precise description in seconds. Describe your requirements in a few sentences, and Uma constructs a tailored post for this role. You can write a new post, update a saved draft, or reuse an existing post.

  • Specify experience with Informatica Developer for creating connections and importing metadata.
  • List required skills in designing mappings and managing integration data objects.
  • Clarify if the role involves automating delivery via the Data Integration Service REST API.

Step 2: Evaluate candidates

Look for proof of hands-on work with Informatica Cloud Data Integration services. Uma runs instant video interviews and builds shortlists with side-by-side comparisons to speed up your review. Focus on candidates who demonstrate clear workflows from design to deployment.

  • Check for portfolios showing deployed applications ready for execution in Informatica Cloud.
  • Verify experience managing integration connections within Informatica Administrator.
  • Seek examples of CI/CD automation assets built using infacmd or REST APIs.

Step 3: Interview your top choices

Discuss technical approaches to data object creation and workflow configuration. Schedule and conduct interviews within Upwork Messages, which generates an immediate transcript and summary after each session. Ask specific questions about their problem-solving process in complex integration scenarios.

  • Ask how they handle metadata imports and mapping design for large datasets.
  • Discuss their method for troubleshooting connection issues in live environments.
  • Review their strategy for updating integration components without disrupting services.

Step 4: Agree on scope and begin work

Set clear milestones for building and deploying integration solutions. Use Upwork Messages and the contract workroom for all communication and project management tasks. Upwork verifies identities, offers hourly tracking, and holds project funds for security.

  • Define deliverables such as specific integration connections with unique IDs.
  • Set deadlines for deploying data integration objects to the cloud service.
  • Agree on documentation standards for any custom automation scripts or workflows.

Upwork is not affiliated with and does not sponsor or endorse any of the tools or services discussed in this article. These tools and services are provided only as potential options, and each reader and company should take the time needed to adequately analyze and determine the tools or services that would best fit their specific needs and situation.

The rates and information provided in this article are based on current data and industry sources available at the time of publication. Freelance rates can vary depending on factors such as experience, location, project scope, and market conditions. Readers are encouraged to conduct their own research to confirm current rates and trends, as this information may change over time.

How much does hiring an Informatica cloud developer cost?

$500-$1,500 per project is a typical range for focused Informatica cloud developer work. Final pricing depends on scope, technical complexity, required integrations, source-material quality, revision needs, and the freelancer's experience level.

Connection setup

$500-$1,200/project

Entry-level to mid-level
  • Configured integration connections with valid IDs
  • Imported metadata for initial data objects
  • Notes on connection parameters and access

Mapping development

$1,200-$2,500/project

Mid-level
  • Built data integration objects and mappings
  • Tested mapping logic against sample data
  • Deployed components to Informatica Cloud

Workflow automation

$2,500-$4,500/project

Mid-level to senior-level
  • Created infacmd or REST API automation scripts
  • Linked scripts to deployment workflows
  • Verified automated execution and error handling

Complex integration

$4,500-$7,000/project

Senior-level
  • Designed multi-source integration framework
  • Built and deployed complex data pipelines
  • Tuned performance for large data volumes

Enterprise migration

$7,000-$12,000/project

Expert-level
  • Defined full migration path from legacy systems
  • Migrated and validated all integration assets
  • Trained team on new cloud environment

Frequently asked questions

Is hiring an Informatica cloud developer worth it?

For most businesses, yes: hiring an Informatica cloud developer is worthwhile. These specialists build and deploy integration solutions that connect disparate systems without requiring extensive custom code. They manage the technical complexity of metadata imports and connection configurations so your team can focus on data analysis.

How do I evaluate Informatica cloud developer candidates?

Evaluate candidates by asking them to describe how they create and manage integration connections within Informatica Developer. A strong candidate will explain their process for importing metadata and building mappings that deploy cleanly to the Informatica Cloud Data Integration Service.

What tools does an Informatica cloud developer use?

An Informatica cloud developer primarily uses Informatica Developer to design mappings and Informatica Administrator to manage connection availability. They may also use the Data Integration Service REST API or infacmd command-line tool to automate deployment tasks.

Can an Informatica cloud developer automate integration deployments?

Yes, these developers can automate delivery operations using the Data Integration Service REST API or infacmd. This approach supports CI/CD-style workflows by scripting the redeployment of application objects for execution in Informatica Cloud.