Primary skills: Pyspark, Hadoop, Spark Core, Spark SQL, Batch processing and Spark Streaming Hadoop, HDFS, Hive and other BigData technologies. Strong problem solving and Good Analytical skills.

• Excellent verbal and written communication skills.
• Experience and desire to work in a Global delivery setting.
• Stay up to date with current technologies and industry trends in Development.
• At least 3+ years of experience in designing and developing large scale, distributed data processing pipelines using PySpark, Hadoop and related technologies.
• Having expertise in Pyspark, Hadoop, 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 3 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 valuable 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.

Infosys is a global leader in next-generation digital services and consulting. Within the Data & Analytics u

📌 Pyspark Developer Pune
🏢 Infosys
📍 Pune