We are looking for a PySpark developer ( with ETL background ) to be able to design and build solution on one of our customer programs. This to build a data standardized and curation layer that will integrate data across internal and external sources, provide analytical insights and integrate with customer’s critical systems.

Roles and Responsibilities
Ability to design, build and unit test the application in Spark/Pyspark
In-depth knowledge of Hadoop, Spark, and similar frameworks
Ability to understand existing ETL logic to convert into Spark/PySpark
Positive implementation experience of oops concepts
Knowledge of Unix shell scripting, RDBMS, Hive, HDFS File System, HDFS File Types, HDFS compression codec
Experience in processing large amounts of structured and unstructured data, including integrating data from multiple sources
Experience in working with Bitbucket and CI-CD process




Have knowledge of the agile methodology for delivering the projects
Valuable communication skills

Skills
Minimum 2 years of extensive experience in design, build and deployment of PySpark-based applications
Expertise in handling complex large-scale Big Data environments
Minimum 2 years of experience in the following: HIVE, YARN, HDFS
Experience in working in ETL products e.g. Ab Initio, Informatica, Data Stage etc.
Hands-on experience writing complex SQL queries, exporting, and importing large amounts of data using utilities

Experience: 6 to 10 Years (EARLY JOINERS ONLY)

Location: Pune OR Chennai OR Hyderabad

Note: We can even consider someone with valuable hands-on experience in Spark and Scala.

📌 Pyspark Developers Chennai
🏢 Techno Wise
📍 Chennai