Scala_6-10 Years

Tata Consultancy Services; Hyderabad, Bengaluru; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Tata Consultancy Services in India is seeking an experienced Scala and PySpark associate to design, develop, and maintain scalable data solutions on the AWS cloud. You will collaborate with data architects, data scientists, and business stakeholders to deliver reliable, high-performance data platforms.

The role emphasizes building modern data pipelines, data warehousing, and cloud-native analytics, with migration of Scala/Spark applications to PySpark and ongoing optimization for cost,

Qualifications

• Experience designing scalable data pipelines on AWS.
• Strong background in data warehousing, big data processing, and cloud-native analytics.
• Experience migrating Scala/Spark apps to PySpark.

Responsibilities

• Design, develop, and optimize scalable data pipelines in AWS using Scala and PySpark.
• Build batch and real-time ingestion and processing frameworks.
• Develop enterprise-grade data warehousing solutions with Scala and PySpark.
• Migrate Scala-based Spark apps to PySpark; optimize performance.
• Ensure data quality, governance, and security across platforms.
• Automate deployment with CI/CD and IaC; monitor pipelines.

Skills

Scala

PySpark

AWS

Data pipelines

Data warehousing

ETL/ELT

CI/CD

IaC

Databricks

Snowflake

Tools

Databricks

Snowflake

CI/CD tools

Terraform

Job description

Role & responsibilities

We are seeking an experienced Scala / Pyspark associate to design, develop, and maintain scalable data solutions on the Amazon Cloud Platform (AWS). The ideal candidate will have strong expertise in building modern data pipelines, data warehousing, big data processing, and cloud-native analytics solutions. The role requires close collaboration with business stakeholders, data architects, data scientists, and application teams to deliver reliable and high-performance data platforms.

• Design, develop, and optimize scalable data pipelines using scala and Pyspark in AWS environment.


• Build and maintain batch and real-time data ingestion and processing frameworks.


• Develop enterprise-grade data warehousing solutions using Scala and Pyspark.


• Analyze existing Scala and Spark applications and identify migration requirements.


• Convert Scala-based ETL, batch, and streaming pipelines into PySpark frameworks.


• Optimize PySpark jobs for performance, scalability, and resource utilization.


• Support cloud modernization initiatives on AWS/Databricks/Snowflake platforms.


• Implement ETL/ELT processes for structured and unstructured data.


• Integrate data from multiple sources including databases, APIs, files, and streaming platforms.


• Ensure data quality, governance, security, and compliance across data platforms.


• Automate deployment and operational processes using CI/CD and Infrastructure as Code (IaC).


• Monitor data pipelines and troubleshoot production issues.


• Collaborate with Data Architects, Business Analysts, and Data Scientists to translate business requirements into technical solutions.


• Implement data models, metadata management, and data lineage best practices.


• Support migration of on-premises or multi-cloud data platforms to AWS.


• Lead the migration, modernization, and optimization of Scala and Apache Spark workloads on Cloud environment, including conversion of Scala-based Spark applications to PySpark, performance tuning, cluster optimization, dependency management, and ensuring scalable, cost-effective, and resilient data processing solutions.