Role Overview

We are seeking an experienced Senior Data Engineer to design, develop, and maintain scalable data solutions for enterprise environments. The ideal candidate will have strong expertise in AWS cloud services, data lake architectures, big data technologies, and modern data engineering practices.

This role requires hands-on technical capability, strong problem-solving skills, and the ability to work independently while delivering high-quality production-ready solutions.

Key Responsibilities

• Design and implement scalable data lake architectures
• Build and manage robust data pipelines and orchestration workflows
• Develop distributed data processing solutions using PySpark
• Write and optimise advanced SQL queries for efficient data operations
• Utilise AWS services such as Glue, S3, Lambda, and Step Functions
• Support CI/CD practices for data engineering deployments
• Validate and deploy changes to production environments with strong quality controls
• Work independently to manage deliverables in a fast-paced setting

Required Skills & Qualifications

• 7 to 10+ years of relevant experience in data engineering
• Strong experience with data lake architectures, big data technologies, and pipeline orchestration
• Expert-level proficiency in AWS Glue, Amazon S3, AWS Lambda, and AWS Step Functions
• Strong proficiency in PySpark for distributed data processing
• Advanced SQL skills for querying, tuning, and optimisation
• Familiarity with CI/CD practices in data engineering
• Strong attention to detail and problem-solving ability
• Comfortable deploying changes live through self-validation processes
• Ability to work independently and manage tasks in a siloed environment

Preferred Skills

• AWS Certification such as AWS Certified Data Analytics – Specialty or AWS Solutions Architect
• Experience with Databricks

How to Apply

If you are passionate about cloud data engineering and modern data platforms, we encourage you to apply.

Share your profile with: kiran.m@websynergies.com