Job Description
Dear Professionals
Greetings from Tata consultancy Services,
Job Title : AWS Databricks Spark Scala Developer
Experiernce: 7 to 10 Years
Location: Bangalore / Hyderabad
Mode of Work : Work from Office
Mode of Interview: Virtual
If you are Interested in the above opportunity kindly share your updated resume to venkatesh.k13@tcs.com immediately with the details below (Mandatory)
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Key Responsibilities
Job Title: AWS Databricks Spark Scala Developer
Experience: 7 to 10 Years
Location: Bangalore / Hyderabad
Job Description
We are seeking a highly skilled AWS Databricks Spark Scala Developer with 6 to 8 years of experience in designing, developing, and implementing large-scale data processing solutions. The ideal candidate should have strong expertise in AWS, Databricks, Apache Spark, Scala, and JAR application development with hands-on experience in building scalable data engineering solutions.
Key Responsibilities
- Design, develop, and maintain scalable data processing applications using Scala and Apache Spark.
- Develop and deploy JAR-based applications in Databricks and AWS environments.
- Build ETL/ELT pipelines for processing large volumes of structured and unstructured data.
- Optimize Spark jobs for performance, scalability, and reliability.
- Implement data engineering solutions using Databricks on AWS.
- Collaborate with business analysts, architects, and stakeholders to understand requirements and deliver solutions.
- Monitor, troubleshoot, and resolve production issues related to data pipelines.
- Participate in code reviews and ensure adherence to coding standards and best practices.
Required Skills
- Strong experience in Scala Programming
- Hands-on expertise in Apache Spark (Core, SQL, DataFrames)
- Experience with Databricks Platform
- Strong knowledge of AWS Cloud Services (S3, EC2, Lambda, IAM, Glue)
- Experience in JAR Development and Deployment
- Strong SQL skills and database concepts
- Experience with ETL and Data Warehousing concepts
- Hands-on experience with Git and CI/CD tools
- Knowledge of distributed computing and performance tuning
- Strong debugging and problem-solving skills
Preferred Skills
- Experience with Delta Lake
- Knowledge of Apache Kafka
- Exposure to PySpark
- Familiarity with Airflow or AWS Step Functions
- Experience with DevOps and Infrastructure as Code
- Understanding of Data Governance and Data Security practices