Role: Senior Data Engineer (ELT)

Location: India, Pune

As a Senior Data Engineer, you play a critical role in the Unified Data Platform (UDP) product lifecycle from ideation through delivery and continuous optimization working across multiple delivery pods to ensure scalable, reusable, and governed data solutions. You will collaborate closely with cloud engineers, product owners, business engagement leads, business analysts, architects, and BI teams to deliver high-quality, cloud-native data products aligned to enterprise data models and standards.

This role requires strong leadership across multiple delivery teams, ensuring adherence to Data Services protocols, coding standards, and CI/CD processes. Operating within an agile delivery model, you will be responsible for designing, building, and governing data pipelines and data products that integrate seamlessly into the existing UDP architecture. You will ensure consistency in the use of conformed dimensions and fact tables, prevent duplication, and promote reuse to maintain an efficient, scalable, and maintainable data ecosystem.

What will you be doing

Lead and coordinate multiple data engineering delivery teams to ensure alignment with Unified Data Platform standards and delivery protocols
Design and develop scalable ELT pipelines to ingest, transform, and publish data into data lakes, data warehouses, and curated data products
Ensure solutions align with enterprise data models, leveraging existing dimensions and fact tables to promote reuse and eliminate redundancy
Collaborate with business engagement teams and business analysts to refine requirements and translate them into scalable data solutions
Partner with architecture teams to ensure new enhancements and data products align with the existing platform and modeling standards
Enforce adherence to Data Services processes, including coding standards, CI/CD pipelines, testing strategies, and deployment protocols
Implement data orchestration, monitoring, and automated quality control processes to ensure reliability and performance
Define and manage metadata, lineage, and data governance requirements across pipelines and data products
Optimize performance of data pipelines and Snowflake workloads for cost, scalability, and efficiency
Support production environments, ensuring timely resolution of issues and continuous improvement of pipelines
Drive adoption of best practices in data engineering, including modular design, reusability, and automation
Coach and mentor engineers across teams, ensuring consistent standards, quality, and continuous development

What will you need to be successful

Minimum Qualifications:

BSc degree in IT or related discipline
6+ years of experience in data engineering or software engineering, with at least 4 years in cloud-based data platform
Proven experience with enterprise data platforms (preferably Snowflake on AWS)
Strong experience with ELT tools such as Matillion, Fivetran, or Informatica IICS
Advanced SQL skills and deep understanding of data warehousing concept
Experience implementing CI/CD pipelines, automated testing, and deployment processes
Strong understanding of data governance, metadata management, and data quality practices

Preferred Qualifications:

Cloud certifications (AWS, Snowflake, or equivalent)
Strong experience with Python for data engineering and automation
Experience with DBT for data modeling and transformation
Experience with BI tools such as Power BIFamiliarity with data platforms supporting AI/ML initiatives

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

Senior Data Engineer

Job Description

No Referrers Available