Data Engineer

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.

6 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