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 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.
Robust 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 current technologies and industry trends in Development.

Role & responsibilities

Preferred candidate profile

📌 Pyspark Developer Telangana
🏢 Pi Square Technologies
📍 Telangana