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Tata Consultancy Services · Bengaluru

AWS Spark Scala - Data Engineer

BengaluruData & Analytics

Last seen on Tata Consultancy Services’s official careers site on August 1, 2026; it may have closed since.

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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 <td valign="top" style="width:468.75pt;border-top:none;border-left: none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt; mso-border-top-alt:solid windowtext .75pt;mso-border-left-alt:solid windowtext .75pt; mso-border-alt:solid windowtex

Qualifications

BACHELOR OF ENGINEERING

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