Senior Data Engineer with Snowflake, Data Pipeline & Big Data Expertise Needed

We are seeking an experienced Senior Data Engineer with strong expertise in Snowflake, Data Pipeline Development, and Big Data technologies to join our team. The ideal candidate will be responsible for designing, building, and optimizing scalable data solutions that support analytics, reporting, and business intelligence initiatives. Key Responsibilities: Design and develop scalable data pipelines for processing large volumes of data. Build and optimize data warehouse solutions using Snowflake. Develop and maintain ETL/ELT workflows for data integration and transformation. Work with Big Data technologies to process structured and unstructured datasets. Collaborate with cross-functional teams to gather requirements and deliver data-driven solutions. Ensure data quality, governance, performance, and security across the data platform. Troubleshoot and optimize existing data pipelines and warehouse performance. Support analytics, reporting, and machine learning initiatives. Required Skills: 7+ years of experience in Data Engineering. Strong hands-on experience with Snowflake. Expertise in Data Pipeline design and development. Experience with Big Data technologies such as Spark, Hadoop, or Kafka. Advanced proficiency in SQL and Python. Experience with ETL/ELT processes and data warehousing concepts. Experience working with cloud platforms, preferably GCP. Strong analytical and problem-solving skills. Preferred Qualifications: Experience with Apache Airflow, dbt, or similar orchestration tools. Knowledge of real-time data processing and streaming technologies. Snowflake and Cloud certifications are a plus. Experience: 7+ Years Employment Type: Full-Time