Tata Consultancy Services · Bengaluru
AWS Spark Scala - Data Engineer
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 →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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