TCS Hiring for AWS Databricks Spark Scala Jar Developer

Experience Range: - 07 To 10 Years (Mandatory)

(Note: Candidates below 7 years of IT experience shall not be considered)

JOB LOCATION: Bengaluru, Hyderabad

Key Responsibilities:

- Design and develop scalable data-processing applications using Apache Spark and Scala.
- Develop reusable frameworks, utilities, and libraries and package them as JAR files.
- Deploy and execute Scala-based JAR applications on AWS Databricks clusters.
- Build and maintain high-volume batch and streaming data pipelines.
- Develop ETL and ELT workflows using Databricks, Spark, Scala, and SQL.
- Integrate Databricks with AWS services such as S3, Glue, IAM, Secrets Manager, CloudWatch, and Redshift.
- Implement data ingestion and transformation solutions for structured, semi-structured, and unstructured data.
- Perform Spark performance tuning, including partitioning, caching, join optimization, and memory management.
- Develop and maintain Delta Lake tables and data-processing workflows.
- Configure Databricks jobs, workflows, clusters, libraries, and access controls.
- Implement error handling, logging, auditing, monitoring, and restart mechanisms.
- Write unit and integration tests for Scala and Spark applications.
- Build CI/CD pipelines to automate JAR creation, testing, and deployment.
- Troubleshoot data pipeline failures, cluster issues, and production defects.
- Participate in solution design, code reviews, release planning, and production support.
- Collaborate with data architects, analysts, DevOps teams, and business stakeholders.

Desired Candidate Profile:

- Solid hands-on coding experience in Scala and Apache Spark.
- Proven experience in developing and deploying Scala-based JAR applications.
- Strong understanding of Spark architecture, distributed computing, and performance tuning.




- Experience in building enterprise-scale data pipelines using AWS Databricks.
- Good understanding of data lake, data warehouse, and Delta Lake concepts.
- Ability to troubleshoot complex production issues independently.
- Strong analytical, debugging, and problem-solving skills.
- Good communication and stakeholder-management capabilities.
- Experience working in Agile or Scrum delivery environments

Preferred Skills:

- Spark Structured Streaming
- Apache Kafka
- Python or PySpark
- AWS Lake Formation
- Terraform or CloudFormation
- Apache Airflow
- Snowflake
- Data warehouse and data lake architecture
- Databricks Asset Bundles
- Docker and Kubernetes
- Experience with BFSI or other regulated domains
- AWS or Databricks certification

Minimum Qualification:

15 years of Full Time Education

Interested candidates kindly share your updated resume to [email protected] along with filling the following details to maximize your chances of getting calls from TCS. The details are as follows:

Section 1: Basic Details:

- Candidate Name:
- Email ID:
- Phone Number:
- Current Location (City):
- Preferred Location (City):

Section 2: Educational Details:

- Highest Regular Full‑Time Qualification
- (Diploma / Graduation / Post Graduation / Others)
- 10th Completion Year
- 12th / Intermediate Completion Year
- Graduation Completion Year
- Post‑Graduation Completion Year (if applicable)

Section 3: Work Experience:

- Current Company Name
- Total Experience (in years)
- Number of Companies Worked
- Employment Timeline
- (Example: Company A – 2021 to Present, Company B – 2019 to 2021)

Section 4: Compensation Details:

- Current CTC (in LPA)
- Expected CTC (in LPA)
- Notice Period
- (Immediate / 15 Days / 30 Days / 60+ Days)

Section 5: Documentation & Compliance (Yes / No):

- Valid ID Proof Available (Aadhar & Pan Card): (Yes/No)
- Educational Documents Available: (Yes/No)
- Employment Documents Available: (Yes/No)
- UAN Number Available: (Yes/No)

📌 AWS Databricks Spark Scala Jar Developer (Bengaluru)
🏢 Tata Consultancy Services
📍 Bengaluru