Pyspark Developer

Responsibilities and JD in brief along with additional criteria to be considered (if any):

• At least 6+ years of experience in designing and developing large scale, distributed data processing pipelines using PySpark, Hadoop and related technologies.
• Having expertise in Pyspark, Spark Core, Spark SQL, Batch processing and Spark Streaming
• Experience with Hadoop, HDFS, Hive and other BigData technologies.
• Familiarity with Data warehousing and ETL concepts and techniques
• UNIX shell scripting will be an added advantage in scheduling/running application jobs.
• At least 5 years of experience in Project development life cycle activities and development/maintenance projects
• Work with business stakeholders and other SMEs to understand high level business requirements.
• Work with the Solution Designers and contribute to the development of project plans by participating in the scoping and estimating of proposed project.
• Apply technical background understanding, business knowledge, system knowledge in the elicitation of Systems Requirements for projects.
• Possess good knowledge on Spark architecture and transformations using Spark and PySpark.
• Work in an Agile environment and participation in scrum daily standups, sprint planning reviews and retrospectives.
• Understand project requirements and translate them into technical solutions which meets the project quality standards
• Ability to work in team in diverse/multiple stakeholder environment and collaborate with upstream/downstream functional teams to identify, troubleshoot and resolve data issues.
• Strong problem solving and Good Analytical skills.
• Excellent verbal and written communication skills.
• Experience and desire to work in a Global delivery environment.
• Stay up to date with new technologies and industry trends in Development.

Role & responsibilities

Preferred candidate profile