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State Street - Data Engineer - Python/PySpark

hirist.tech
Bangalore
7 - 11 Years

Posted on: 19/11/2025

Job Description

Note : If shortlisted, you will be invited for initial rounds on 6th December'25 (Saturday) in Bangalore

Experience : 7 to 11 years

Role Description :

- Technical Lead (overall 9+ years good development experience) with good hands-on experience in Python/PySpark with strong experience in Spark /PySpark, Databricks, AWS services ,Spark SQL for big data processing and,Kafka, Airflow.

- Worked in a complex deadline driven projects with minimal supervision.


- Ability to architect/design/develop with minimum requirements by effectively.

- 2+ experience on Apache Kafka streaming processing and Python/PySpark.

- End to end understanding of Databricks architecture, design, development and implementation.

- Min 8+ years of good experience on AWS clouds and Data bricks,Airflow.

- Excellent work ethics with ability to work independently.

- Hands-on experience in SQL, PL/SQL, Unix Shell Scripting, Autosys.

- Experience with relational databases such as Oracle, PostgreSQL as well as NoSQL databases

- Data integration techniques and tools including APIs and data streaming

- Strong analytical and problem solving skills, with the ability to identify and resolve issues in data pipelines and systems

- Experience with Agile software development methodology and version control systems like GitHub

- Expertise in Data Modeling and DB design with the skills in performance tuning

- Support existing data platforms and products in production for any critical issues and provide resolution fixes

- Have good communication skill, and collaborate well with different teams/stakeholders and vendors

- Ability to lead a team of agile developers.

- Experience in Banking Domain preferred.

Core/Must have skills :

- Python,PySpark/Spark, Databricks, AWS cloud, SQL, Apache Kafka,

Good to have skills :

- Airflow,Oracle,PLSQL,SQL, Test Driven Design.

Work Schedule :

- 12 PM IST to 9 PM IST

Keywords (If any) :

- Python,PySpark,Databricks,AWS,SQL

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