Senior Data Engineer

7 days ago


Pune, Maharashtra, India Synapse Tech Services Inc Full time ₹ 1,04,000 - ₹ 1,30,878 per year

About The Role
We are looking for a highly experienced Senior Data Engineer with deep expertise in the AWS ecosystem to design, implement, and manage enterprise-grade data integration solutions.

The ideal candidate will have a proven track record in ETL processes, cloud-based data architecture, and building scalable data pipelines.

This role will play a critical part in enabling our data-driven strategy and ensuring the integrity, performance, and scalability of our data infrastructure.

Key Responsibilities

  • Design and develop robust, scalable, and secure data integration and ETL solutions on AWS.
  • Implement and optimize data pipelines using services such as AWS Glue, AWS Lambda, Amazon Redshift, Amazon S3, and AWS Data Pipeline.
  • Work on data modeling, data warehousing, and big data solutions to support analytics and business intelligence initiatives.
  • Ensure data quality, governance, and compliance with industry best practices and security standards.
  • Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to translate requirements into data engineering solutions.
  • Troubleshoot and optimize data processes to ensure high performance and reliability.
  • Mentor junior engineers and contribute to building best practices for the data engineering team.

Qualifications Have & Experience

  • Bachelors or Masters degree in Computer Science, Information Technology, or a related field.
  • 10+ years of overall IT experience, with 7+ years in data integration and ETL processes.
  • Strong expertise in AWS services: AWS Glue, AWS Lambda, Amazon Redshift, Amazon S3, AWS Data Pipeline.

Technical Skills

  • Proficiency in SQL and hands-on experience with relational databases (MySQL, PostgreSQL, etc.
  • Strong programming skills in Python.
  • Experience with data modeling, warehousing, and big data frameworks.
  • Knowledge of data governance, security, and compliance best practices.

Soft Skills

  • Excellent problem-solving and analytical abilities.
  • Strong communication, collaboration, and stakeholder management skills.
  • Ability to work independently as well as within a cross-functional team.

Good To Have

  • AWS Certified Solutions Architect or other relevant AWS certifications.
  • Exposure to machine learning and AI technologies.
  • Experience with Google Cloud Platform (GCP) or other cloud providers.
  • Familiarity with LookML (Looker).
  • Domain knowledge of US Healthcare and Life Sciences

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