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Aws Data EngineerTata Consultancy Services · Hyderabad
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Tata Consultancy Services

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Aws Data Engineer

🗓️ Posted 2026-09-08 Hyderabad Full-time Hybrid ICT
💰 Salary Not shared 📊 Market ₹60,000–₹120,000/mo

About the Company

Tata Consultancy Services (TCS) is the technology partner of choice for industry leading organizations worldwide. Since its inception in 1968, TCS has upheld the highest standards of innovation, engineering excellence, and customer service. It has set an aspiration to become the world's largest AI-led technology services company and is enabling its clients to transform themselves across the full AI stack, from infrastructure to intelligence. Rooted in the heritage of the Tata Group, TCS is focused on creating long term value for its clients, its investors, its employees, and the community at large. With a highly skilled workforce spread across 55 countries and 202 service delivery centers across the world, the company has been recognized as a top employer in six continents. With the ability to rapidly apply and scale new technologies, the company has built long term partnerships with its clients - helping them emerge as perpetually adaptive enterprises. Many of these relationships have endured into decades and navigated every technology cycle, from mainframes in the 1970s to artificial intelligence today. TCS sponsors 14 of the world's most prestigious marathons and endurance events, including the TCS New York City Marathon, TCS London Marathon and TCS Sydney Marathon with a focus on promoting health, sustainability, and community empowerment. Caution against fraudulent job offers: TCS doesn't charge any fee throughout the recruitment process. Refer here: https://www.tcs.com/careers/india/recruitment-fraud-alert Information Technology & Services Specialties: IT Services, Business Solutions, Consulting

Responsibilities

  • ● Design, develop, and maintain scalable ETL/ELT pipelines using PySpark and Python.
  • ● Develop and optimize complex SQL queries, stored procedures, and data models.
  • ● Build and manage data processing workflows on Databricks.
  • ● Implement data solutions on AWS cloud services.
  • ● Process and analyze structured and unstructured data from multiple sources.
  • ● Collaborate with business stakeholders, data analysts, and data scientists to understand data requirements.
  • ● Ensure data quality, security, governance, and compliance standards.
  • ● Troubleshoot performance bottlenecks and optimize data pipelines.
  • ● Participate in code reviews and implement best practices for data engineering.

Requirements

  • ● Strong experience in Python programming.
  • ● Hands-on experience with PySpark for large-scale data processing.
  • ● Advanced proficiency in SQL.
  • ● Experience with Databricks platform.
  • ● Strong understanding of AWS services such as AWS S3, AWS Glue, AWS EMR, AWS Lambda, AWS Redshift, AWS IAM, and AWS CloudWatch.
  • ● Knowledge of data warehousing and data lake concepts.
  • ● Experience with CI/CD practices and version control tools such as Git.
  • ● Strong analytical and problem-solving skills.
  • ● Experience with real-time data processing and streaming technologies.
  • ● Knowledge of Apache Spark architecture and optimization techniques.
  • ● Exposure to orchestration tools such as Airflow.
  • ● AWS Certification is preferred.