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Job Description

TEKsystems is seeking a Senior AWS + Data Engineer to join our dynamic team. The ideal candidate should have expertise Data engineer + Hadoop + Scala/Python with AWS services. This role involves designing, developing, and maintaining scalable and reliable software solutions. Job Title: Data Engineer – Spark/Scala (Batch Processing) Location: Manyata- Hybrid Experience: 7+yrs Type: Full-Time Mandatory Skills: 7-10 years’ experience in design, architecture or development in Analytics and Data Warehousing. Experience in building end-to-end solutions with the Big data platform, Spark or scala programming. 5 years of Solid experience in ETL pipeline building with spark or sclala programming framework with knowledge in developing UNIX Shell Script, Oracle SQL/ PL-SQL. Experience in Big data platform for ETL development with AWS cloud platform. Proficiency in AWS cloud services, specifically EC2, S3, Lambda, Athena, Kinesis, Redshift, Glue , EMR, DynamoDB, IAM, Secret Manager, Step functions, SQS, SNS, Cloud Watch. Excellent skills in Python-based framework development are mandatory. Should have experience with Oracle SQL database programming, SQL performance tuning, and relational model analysis. Extensive experience with Teradata data warehouses and Cloudera Hadoop. Proficient across Enterprise Analytics/BI/DW/ETL technologies such as Teradata Control Framework, Tableau, OBIEE, SAS, Apache Spark, Hive Analytics & BI Architecture appreciation and broad experience across all technology disciplines. Experience in working within a Data Delivery Life Cycle framework & Agile Methodology. Extensive experience in large enterprise environments handling large volume of datasets with High SLAs Good knowledge in developing UNIX scripts, Oracle SQL/PL-SQL, and Autosys JIL Scripts. Well versed in AI Powered Engineering tools like Cline, GitHub Copilo Please send the resumes to nvaseemuddin@teksystems.com or kebhat@teksystems.com Show more Show less

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