AWS Data Engineer

About the job

Important Note (Please Read Before Applying) 🚫 Do NOT apply if: • You have less than 7 years or more than 12 years of experience • You do not have hands-on AWS Data Engineer 6+ experience • You are on a notice period longer than 30 days • You are looking for Hybrid only (role is onsite in Hyderabad) • You are a fresher or unrelated background (e.g., support, testing only, non-Java roles) ✅ Apply ... ONLY if you meet ALL criteria above. Random / irrelevant applications will not be processed. Job Title: AWS Data Engineer Location: Hyderabad Experience: 7+ Years (STRICTLY) Employment Type: Permanent Notice Period: Immediate Joiners -30 Days Only About the Company Our client is a trusted global innovator of IT and business services, present in 50+ countries. They specialize in digital & IT modernization, consulting, managed services, and industry-specific solutions. With a commitment to long-term success, they empower clients and society to move confidently into the digital future. About the Role We are seeking an experienced AWS Data Engineer to design, build, and maintain scalable data pipelines and cloud-based data platforms on Amazon Web Services. The ideal candidate will have strong experience with big data technologies, data modeling, ETL/ELT development, and cloud-oriented architecture. Key Responsibilities • Design, develop, and maintain data pipelines using AWS services such as Glue, Lambda, Step Functions, EMR, Kinesis, and Data Pipeline. • Build and optimize data lakes, data warehouses, and analytics platforms using S3, Redshift, Athena, Lake Formation, and Glue Catalog. • Develop and implement ETL/ELT workflows for structured and unstructured data. • Work with stakeholders (data analysts, data scientists, business teams) to understand data requirements and translate them into technical solutions. • Implement data quality, data governance, and security best practices (IAM, KMS, encryption, access control). • Optimize performance and cost for AWS-based data workloads. • Monitor, troubleshoot, and improve reliability of data pipelines. • Build CI/CD pipelines for data engineering workflows using tools like CodePipeline, CodeBuild, Jenkins, GitHub Actions, etc. • Work with Python, SQL, PySpark, or similar languages for data transformations. • Collaborate in an Agile environment to deliver high-quality solutions. Required Qualifications • Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field. • 6+ years of experience as a Data Engineer. • Strong experience with AWS analytics and compute services: • S3, Glue, Lambda, Step Functions, EC2, EMR • Redshift, DynamoDB, Athena, Kinesis • Strong programming experience in Python and SQL; familiarity with PySpark/Spark. • Experience with data modeling (dimensional, relational, star/snowflake schemas). • Experience building and maintaining ETL/ELT pipelines. • Solid understanding of cloud security, networking, and AWS IAM. • Experience with version control (Git) and CI/CD processes.

Requirements

• AWS
• Data Engineering
• Python
• SQL

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field.
• 6+ years of experience as a Data Engineer.

Preferred Technologies

• AWS
• Data Engineering
• Python
• SQL

About the company

They balance innovation with an open, friendly culture and the backing of a long-established parent company, known for its ethical reputation. We guide customers from what’s now to what’s next by unlocking the value of their data and applications to solve their digital challenges, achieving outcomes that benefit both business and society.