AWS Data Engineer

Hireginie; Bengaluru; On-site; INR 600,000 - 1,200,000; Full time

Job summary

An innovative firm is seeking a talented AWS Data Engineer to join its dynamic data engineering team. This role offers an exciting opportunity to design and implement enterprise-grade data pipelines on the AWS cloud platform, driving smarter decision-making in the Life Sciences sector. The ideal candidate will have a strong background in AWS services, Python, and SQL, and will play a crucial role in optimizing data processes and ensuring data accuracy. Join a forward-thinking company that empowers organizations to unlock the full potential of their data through intelligent automation and innovative strategies. If you're ready to make an impact in a fast-paced environment, this is the perfect opportunity for you.

Qualifications

• 4-8 years of experience in data engineering with a focus on AWS.
• Strong skills in Python and SQL for data processing and transformation.

Responsibilities

• Design and implement data pipelines using AWS services.
• Optimize data storage and retrieval using AWS database services.

Skills

AWS Services

Python

SQL

Data Warehousing

ETL

Big Data Processing

Data Modeling

Education

Bachelor’s degree in Computer Science

Master’s degree in Information Technology

Tools

AWS S3

AWS Glue

AWS EMR

AWS RDS

AWS Redshift

AWS DynamoDB

PySpark

Job description

Direct message the job poster from Hireginie

Tech recruiter | Test Engineer | Hiring for technical lead, Eng manager and Architect positions (Backend, Full stack)

Our Client: Our client is a next-generation analytics and AI company transforming the Life Sciences industry. As a trusted partner to global pharmaceutical and biotech firms, it combines deep domain expertise with cutting-edge cloud technologies to deliver scalable, high-impact solutions. With a mission to disrupt the traditional consulting mode, the company empowers organizations to harness the full potential of their data through intelligent automation, innovation, and insight-driven strategies.

Job Title: AWS Data Engineer

Education: Bachelor’s or master’s degree in computer science, Information Technology

Experience: 4-8 Years

Immediate joiners preferred

About the Role:

We are looking for a highly skilled AWS Data Engineer to join our client's fast-growing data engineering team. This is an exciting opportunity to build enterprise-grade data pipelines and solutions on the AWS cloud platform, enabling smarter decision-making in the Life Sciences industry.

Key Responsibilities:

• Design and implement data pipelines using AWS services such as S3, Glue, PySpark, and EMR.
• Develop and maintain data processing and transformation scripts using Python and SQL.
• Optimize data storage and retrieval using AWS database services such as RDS, Redshift, and DynamoDB.
• Build different types of data warehousing layers based on specific use cases.
• Utilize expertise in SQL and have a strong understanding of ETL and data modeling.
• Ensure the accuracy and availability of data to customers and understand how technical decisions can impact their business’s analytics and reporting.
• Experience with AWS cloud and AWS services such as S3 Buckets, Glue Studio, Redshift, Athena, Lambda, and SQS queues.

Required Technical Skills:

• Experience with batch job scheduling and identifying data/job dependencies.
• Proficiency in data warehousing, ETL, and big data processing.
• Familiarity with the Pharma domain is a plus.

Seniority level: Mid-Senior level

Employment type: Full-time

Job function: Engineering and Science

Industries: Staffing and Recruiting