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AWS Data Engineer/ Data Bricks/Pyspark(Walk in for Bangalore)
Role: AWS Data Engineer/ Data Bricks/Pyspark Experience: 05 to 12 yrs Drive Location: Tata Consultancy Services ,A Block,2nd floor ,Yeshwanthpur Towers 2GGW+54C, Yeshwanthpur Industrial Suburb, Sattva Knowledge Point Mahalakshmi Layout,Bengaluru,Karnataka Reporting Time: 9:30am-12:30pm Mode of Interview: Walk in Drive Date of Interview: 29th August, 2026
Responsibilities :-
Worked in a complex deadline driven projects with minimal supervision. Ability to architect/design/develop with minimum requirements by effectively. Work Experience on Apache Kafka streaming processing and Python/PySpark. End to end understanding of Databricks architecture, design, development and implementation. A 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
Thanks & Regards Diptimayee Swain HR TA- Bhubaneswar-EP
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Responsibilities :-
Worked in a complex deadline driven projects with minimal supervision. Ability to architect/design/develop with minimum requirements by effectively. Work Experience on Apache Kafka streaming processing and Python/PySpark. End to end understanding of Databricks architecture, design, development and implementation. A 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
Thanks & Regards Diptimayee Swain HR TA- Bhubaneswar-EP
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