[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Tata Consultancy Services jobs](https://jobs.opennash.com/companies/tata-consultancy-services/) · [Search jobs](/search/) Tata Consultancy Services · Bengaluru # AWS Spark Scala - Data Engineer Bengaluru Data & Analytics Last seen on Tata Consultancy Services’s official careers site on August 1, 2026; it may have closed since. [Apply on Tata Consultancy Services’s careers site →](https://ibegin.tcsapps.com/candidate/next/en-IN/jobs/392077J) [OpenNash Jobs](https://jobs.opennash.com/) / [Tata Consultancy Services](https://jobs.opennash.com/companies/tata-consultancy-services/) / AWS Spark Scala - Data Engineer ## Job description ### Job Description TCS Inviting Application For -- AWS Spark Scala - Data Engineer EXP Range:6-8 Yrs Location: Bangalore Desired Competencies (Technical/Behavioral Competency) Must-Have - Strong experience in programming languages such as Python, Java, or Scala for data manipulation and engineering tasks. - Expertise in SQL and NoSQL databases - Hands-on experience with big data technologies like Hadoop, Spark, Kafka, and Hive to handle large-scale data processing and real-time data streams. - In-depth knowledge of data warehousing solutions such as Amazon Redshift, Google BigQuery, and Snowflake for building and managing data warehouses. - Proficiency in designing, developing, and maintaining ETL (Extract, Transform, Load) processes using tools like Apache NiFi, Talend, or Informatica. ### Good-to-Have - Familiarity with cloud platforms like AWS, Azure, or Google Cloud for deploying, managing, and scaling data infrastructure and services. - * Strong understanding of data modeling concepts and techniques to create efficient and scalable data models. - Experience with version control systems such as Git for code management and collaboration. - Knowledge of data governance, data quality standards, and data security practices to ensure compliance and protection of sensitive information SN Responsibility of / Expectations from the Role 1 - Design, develop, and maintain scalable data pip elines for extracting, transforming, and loading data from various sources to ensure seamless data flow and accessibility. 2 - Collaborate with cross-functional teams to integrate data from multiple disparate sources, ensuring consistency, accuracy, and reliability of data. 3 - Optimize data processing workflows and storage solutions for performance, scalability, and cost-efficiency 4 - Implement data quality checks and validation processes to ensure the accuracy, completeness, and consistency of data throughout the data lifecycle. 5