Apache Spark Engineer job description template

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Example of Apache Spark Engineer job description

Apache Spark is an open-source framework that supports both data streaming and batch processing. The engine interprets multiple programming languages, and its users can harness its power to improve data engineering, data science, and machine learning. With over 1,000 contributing software engineers and developers from hundreds of organizations, it has been leveraged by businesses across all industries to process data of any size.

Recognized as one of the world’s largest data processing clusters, even engineers with just a few years of experience are capable of learning, building, and leveraging the framework. Experienced engineers bring vast knowledge to support various functions, from enhancing processing speed to rebuilding and monitoring data pipelines. The value they add can benefit many facets of an organization.

The job overview

We're looking to hire a new Apache Spark engineer for our team who can help us develop and evolve a large real-time data processing system. As an expert software engineer, your problem-solving and scripting skills will help us manage business requirements to support data scientists. You'll work closely with our system designers and software developers to collaborate on interface development and data pipelines.

Responsibilities of an Apache Spark Engineer

Below are the responsibilities an Apache Spark team member:

  • Design and implement Spark jobs to define, schedule, monitor, and control processes
  • Develop and test algorithms for large-scale machine learning
  • Optimize Spark jobs to maximize speed and scalability while remaining data-use compliant
  • Manage data pipelines and acquisition processes
  • Perform data processing and analysis 
  • Build machine learning models using Spark or MapReduce to visualize and present results
  • Work with other Spark developers and back-end data engineers to design interactive Spark pipelines
  • Develop REST APIs for Spark jobs

Job qualifications for an Apache Spark Engineer

Below are the qualifications for an Apache Spark engineer:

  • Expertise building data and processing pipelines
  • Familiarity with Spark engine syntax modules, including Spark SQL 
  • Familiarity with APIs including RDD, DataFrame, Dataset, and PySpark
  • Fluency in programming languages including Python, Java, and Scala
  • Knowledge of Spark internals and streaming technology (Kafka, KSQL, etc.)
  • Expertise in SQL and big data processing (Hadoop ecosystems, Hive, Impala, Druid, etc.)
  • Familiarity with machine learning algorithms and foundations such as PyTorch
  • Experience with an ETL tool and expertise in managing the post-loading data
  • Expert in one or more distributed file systems, such as HDFS, S3, and Ceph 
  • Familiarity with visualization tools
  • Familiarity with Amazon's AWS for building Apache Spark clusters

A bachelor's degree in data science, software development, and computer science isn't required for Apache Spark jobs. But having a higher certification is highly encouraged (specifically from Cloudera, MapR, or Hadoop).

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  • $90 hourly
    Amar K.
    Apache Spark Engineer
    • 5.0
    • (27 jobs)
    Bengaluru, KA
    vsuc_fltilesrefresh_TrophyIcon Apache Spark
    Google App Engine
    Software Development
    Web Development
    Machine Learning
    Big Data
    Google Cloud Platform
    Amazon Web Services
    Apache Airflow
    Data Engineering
    I pride myself on achieving a 𝗽𝗲𝗿𝗳𝗲𝗰𝘁 𝗿𝗲𝗰𝗼𝗿𝗱 𝗼𝗳 𝟱-𝘀𝘁𝗮𝗿 𝗿𝗮𝘁𝗶𝗻𝗴𝘀 𝗮𝗰𝗿𝗼𝘀𝘀 𝗮𝗹𝗹 𝗽𝗿𝗼𝗷𝗲𝗰𝘁𝘀. My expertise in 𝗰𝗹𝗼𝘂𝗱 𝗱𝗮𝘁𝗮 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 and 𝗳𝘂𝗹𝗹-𝘀𝘁𝗮𝗰𝗸 development has been honed through experience with premier institutions like 𝗚𝗼𝗹𝗱𝗺𝗮𝗻 𝗦𝗮𝗰𝗵𝘀, 𝗠𝗼𝗿𝗴𝗮𝗻 𝗦𝘁𝗮𝗻𝗹𝗲𝘆, a member of the 𝗕𝗶𝗴 𝗙𝗼𝘂𝗿 and a 𝗙𝗼𝗿𝘁𝘂𝗻𝗲 𝟱𝟬𝟬 company. With over 9 years of experience in Data Engineering and Programming, I bring a commitment to excellence and a passion for perfection in every project I undertake. My approach is centered around delivering not just functional, but 𝗵𝗶𝗴𝗵𝗹𝘆 𝗲𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝘁 𝗮𝗻𝗱 𝗼𝗽𝘁𝗶𝗺𝗶𝘇𝗲𝗱 code, ensuring top-quality outputs that consistently impress my clients. My expertise combined with extensive experience on both GCP and AWS Cloud platforms, allows me to provide solutions that are not only effective but also innovative and forward-thinking. I believe in going beyond the basics, striving for excellence in every aspect of my work, and delivering results that speak for themselves. 𝗖𝗵𝗼𝗼𝘀𝗲 𝗺𝗲 𝗶𝗳 𝘆𝗼𝘂 𝗽𝗿𝗶𝗼𝗿𝗶𝘁𝗶𝘇𝗲 𝘁𝗼𝗽-𝗻𝗼𝘁𝗰𝗵 𝗾𝘂𝗮𝗹𝗶𝘁𝘆 𝗶𝗻 𝘆𝗼𝘂𝗿 𝗽𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝗮𝗻𝗱 𝗮𝗽𝗽𝗿𝗲𝗰𝗶𝗮𝘁𝗲 𝗮 𝗳𝗿𝗲𝗲𝗹𝗮𝗻𝗰𝗲𝗿 𝘄𝗵𝗼 𝗮𝘂𝘁𝗼𝗻𝗼𝗺𝗼𝘂𝘀𝗹𝘆 𝗺𝗮𝗸𝗲𝘀 𝗼𝗽𝘁𝗶𝗺𝗮𝗹 𝗱𝗲𝗰𝗶𝘀𝗶𝗼𝗻𝘀, 𝘀𝗲𝗲𝗸𝗶𝗻𝗴 𝗰𝗹𝗮𝗿𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝗼𝗻𝗹𝘆 𝘄𝗵𝗲𝗻 𝗮𝗯𝘀𝗼𝗹𝘂𝘁𝗲𝗹𝘆 𝗻𝗲𝗰𝗲𝘀𝘀𝗮𝗿𝘆. 𝗔𝗿𝗲𝗮𝘀 𝗼𝗳 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲: - 𝗖𝗹𝗼𝘂𝗱: GCP (Google Cloud Platform), AWS (Amazon Web Services) - 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲: Java, Scala, Python, Ruby, HTML, Javascript - 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴: Spark, Kafka, Crunch, MapReduce, Hive, HBase, AWS Glue, PySpark, BiqQuery, Snowflake, ETL, Datawarehouse, Databricks, Data Lake, Airflow, Cloudwatch 𝗖𝗹𝗼𝘂𝗱 𝗧𝗼𝗼𝗹𝘀: AWS Lambda, Cloud Functions, App Engine, Cloud Run, Datastore, EC2, S3, - 𝗗𝗲𝘃𝗢𝗽𝘀: GitHub, GitLab. BitBucket, CHEF, Docker, Kubernetes, Jenkins, Cloud Deploy, Cloud Build, - 𝗪𝗲𝗯 & 𝗔𝗣𝗜: SpringBoot, Jersey, Flask, HTML & JSP, ReactJS, Django 𝗥𝗲𝘃𝗶𝗲𝘄𝘀: "Amar is a highly intelligent and experienced individual who is exceeding expectations with his service. He has very deep knowledge across the entire field of data engineering and is a very passionate individual, so I am extremely happy to have finished my data engineering project with such a responsible fantastic guy. I was able to complete my project faster than anticipated. Many thanks...." "Amar is an exceptional programmer that is hard to find on Upwork. He combines top-notch technical skills in Python & Big Data, excellent work ethic, communication skills, and strong dedication to his projects. Amar systematically works to break down complex problems, plan an approach, and implement thought-out high-quality solutions. I would highly recommend Amar!" "Amar is a fabulous developer. He is fully committed. Is not a clock watcher. Technically very very strong. His Java and Python skills are top-notch. What I really like about him is his attitude of taking a technical challenge personally and putting in a lot of hours to solve that problem. Best yet, he does not charge the client for all those hours, He still sticks to the agreement. Very professional. It was a delight working with him. and Will reach out to him if I have a Java or Python task."
  • $150 hourly
    Thomas T.
    Apache Spark Engineer
    • 5.0
    • (12 jobs)
    Los Angeles, CA
    vsuc_fltilesrefresh_TrophyIcon Apache Spark
    Data Management
    Business Intelligence
    API Development
    Amazon Redshift
    Amazon Web Services
    Data Warehousing
    AWS Glue
    Apache Airflow
    I am a professional cloud architect, data engineer, and software developer with 18 years of solid work experience. I deliver solutions using a variety of technologies, selected based on the best fit for the task. I have experience aiding startups, offering consulting services to small and medium-sized businesses, as well as experience working on large enterprise initiatives. I am an Amazon Web Services (AWS) Certified Solutions Architect. I have expertise in data engineering and data warehouse architecture as well. I am well versed in cloud-native ETL schemes/scenarios from various source systems (SQL, NoSQL, files, streams, and web scraping). I use Infrastructure as Code tools (IaC) and am well versed in writing continuous integration/delivery (CICD) processes. Equally important are my communication skills and ability to interface with business executives, end users, and technical personnel. I strive to deliver elegant, performant solutions that provide value to my stakeholders in a "sane," supportable way. I have bachelor's degrees in Information Systems and Economics as well as a Master of Science degree in Information Management. I recently helped a client architect, develop, and grow a cloud-based advertising attribution system into a multi-million $ profit center for their company. The engagement lasted two years, in which I designed the platform from inception, conceived/deployed new capabilities, led client onboardings, and a team to run the product. The project started from loosely defined requirements, and I transformed it into a critical component of my client's business.
  • $40 hourly
    Atakan G.
    Apache Spark Engineer
    • 5.0
    • (6 jobs)
    Istanbul, ISTANBUL
    vsuc_fltilesrefresh_TrophyIcon Apache Spark
    Blockchain Development
    Distributed Computing
    Machine Learning
    Algorithm Development
    Deep Learning
    I have studied Computer Engineering and Mathematics(double major). From 2nd year in the university, I have been really interested in the fields data science and machine learning. I have almost 1 year work experience on the topic as well.
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