Aws Data Engineer

Dear Professionals

Greetings from Tata consultancy Services,

Job Title : AWS Data Engineer

Experiernce: 6 to 10 Years

Location: Hyderabad, Bengaluru.

Mode of Work : Work from Office

Mode of Interview: Virtual

If you are Interested in the above opportunity kindly share your updated resume to [email removed] immediately with the details below (Mandatory)

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Job Title: AWS Data Engineer
Experience: 6-10 Years
Location: Hyderabad / Bengaluru

Job Description

We are seeking an experienced AWS Data Engineer with strong expertise in Python, PySpark, SQL, and Databricks to design, develop, and optimize scalable data pipelines and data platforms. The ideal candidate should have hands-on experience in building cloud-based data solutions, processing large-scale datasets, and enabling data-driven decision-making.

Key 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.

Required Skills

• 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
• 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.

Preferred 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.