Data Engineering, Spark & Scala
UST
Hyderabad, Telangana, India2h agovia LinkedIn
This job at a glance
- Who can apply
- Freshers
- Must know
- ScalaSparkAWSEHR / EMRSQLJava
- Work
- On-site in Hyderabad
- Pay
- Not stated by the employer.
- Listed
- 3 Nov 2026 · still open
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About the Role
UST has an immediate requirement for hands-on technical resources to contribute to the data platform transformation.
Key Responsibilities
- Contribute to Phase 2 and subsequent phases of the data platform transformation.
- Work with Scala and Apache Spark.
- Utilize AWS EMR, S3, and Glue Data Catalog.
- Implement and manage Apache Iceberg.
- Perform DynamoDB data modelling and performance optimization.
- Develop solutions using AWS Lambda and Step Functions.
- Apply Spark SQL and data modelling techniques.
- Execute Apache Iceberg updates, merges, compaction, and performance tuning.
- Support and promote the values of UST.
- Comply with all Company policies and procedures.
Requirements & Tech Stack
- Primary Skills:
- Scala and Apache Spark
- AWS EMR, S3, and Glue Data Catalog
- Apache Iceberg
- DynamoDB data modelling and performance optimization
- AWS Lambda and Step Functions
- Spark SQL and data modelling
- Apache Iceberg updates, merges, compaction, and performance tuning
- Secondary Skills:
- Core Java and Spring Boot
- REST APIs and XML/JSON processing
- Maven, Git, and CI/CD
- AWS CloudWatch, IAM, and KMS
- Linux and shell scripting
- Terraform or CloudFormation
Qualifications
- Strong hands-on experience across the primary technologies.
- Experience working on large-scale data processing platforms.
- Experience with performance optimization.