People Prime Worldwide
Website:
people-prime.com
Job details:
About Client:
Our client is a global digital solutions and technology consulting company headquartered in Mumbai, India. The company generates annual revenue of over $4.29 billion (₹35,517 crore), reflecting a 4.4% year-over-year growth in USD terms. It has a workforce of around 86,000 professionals operating in more than 40 countries and serves a global client base of over 700 organizations.
Our client operates across several major industry sectors, including Banking, Financial Services & Insurance (BFSI), Technology, Media & Telecommunications (TMT), Healthcare & Life Sciences, and Manufacturing & Consumer. In the past year, the company achieved a net profit of $553.4 million (₹4,584.6 crore), marking a 1.4% increase from the previous year. It also recorded a strong order inflow of $5.6 billion, up 15.7% year-over-year, highlighting growing demand across its service lines.
Key focus areas include Digital Transformation, Enterprise AI, Data & Analytics, and Product Engineering—reflecting its strategic commitment to driving innovation and value for clients across industries.
Job Title: AWS Data Engineer
Location: Bangalore
Experience: 8+ yrs
Job Type: Contract to hire(Min 1+ yr)
Notice Period: Immediate joiners
Job Description:
About the Role
We are looking for a highly skilled Lead/Senior Data Engineer with strong expertise in AWS, PySpark, Python, and SQL. The ideal candidate will design, build, and optimize large-scale data pipelines, ensure high performance of data platforms, and provide technical leadership to the engineering team.
Key Responsibilities
Data Engineering & Architecture
- Design, develop, and manage large-scale data pipelines and ETL/ELT workflows using AWS cloud services and PySpark.
- Build robust, scalable, and high-performance data processing solutions.
- Architect and optimize data lake / data warehouse environments on AWS (S3, Glue, Redshift, EMR, etc.).
- Implement data quality, validation, and monitoring frameworks.
Cloud & Big Data Technologies
- Work extensively on AWS services such as:
- S3, EC2, EMR, Glue, Lambda, Step Functions, Redshift, Athena, IAM
- Build distributed data processing systems using PySpark & Spark SQL.
Programming & Automation
- Write clean, efficient, and reusable Python code for data processing and automation.
- Develop optimized and complex SQL queries for data extraction, analysis, and transformation.
- Create CI/CD pipelines and automate workflows.
Leadership & Collaboration
- Provide technical leadership to junior engineers and guide them on best practices.
- Collaborate with cross-functional teams (Data Science, Product, Business, DevOps).
- Participate in design discussions, architecture reviews, and code reviews.
Required Skills
Technical Skills
- Strong expertise in AWS Cloud ecosystem.
- Advanced PySpark skills with hands-on experience in Spark optimization.
- Proficient in Python application programming.
- Expert-level SQL (complex queries, performance tuning).
- Experience with data modeling, data warehousing, and distributed systems.
- Strong understanding of ETL/ELT frameworks and best practices.
Additional Good-to-Have Skills
- Experience with Docker, Kubernetes (optional).
- Knowledge of Airflow or any orchestration tool.
- Exposure to Kafka, Kinesis, SNS/SQS (plus).
- Familiarity with DevOps & CI/CD pipelines.
Click on Apply to know more.