Data Engineer

India

We’re looking for a skilled Data Engineer with deep Snowflake expertise to help modernize and

scale our data platform. If you thrive in a fast-moving environment, can wrangle messy pipelines,

and want to build the backbone of a cloud-first data strategy, this role is for you. You’ll work across

legacy and modern systems to deliver reliable, high-quality data to customers.

Responsibilities:

Design, build, and maintain scalable and efficient data pipelines to support analytics, reporting, and operational use cases
Collaborate closely with product owners, analysts, and data consumers to translate business requirements into reliable data solutions
Develop and maintain data integration workflows across both cloud-native and on-premises systems
Champion best practices in data architecture, modelling, and quality assurance to ensure accuracy and performance
Participate in sprint planning, daily stand-ups, and retrospectives as an active member of a cross-functional agile team
Identify and remediate technical debt across legacy pipelines and contribute to the modernization of the data platform
Implement robust monitoring and alerting for pipeline health, data quality, and SLA adherence
Write and maintain documentation for data flows, transformations, and system dependencies
Contribute to code reviews and peer development to foster a collaborative and high-quality engineering culture
Ensure adherence to security, privacy, and compliance standards in all data engineering practices

Skills & Qualifications:

5+ years of professional experience in data engineering, analytics engineering, or related fields
Bachelor’s degree in computer science, or equivalent field and 2+ years of experience
Advanced SQL skills, including performance tuning and query optimization
Expertise in Snowflake, including data warehousing concepts, architecture, and best practices
Experience with modern data transformation tools (e.g., dbt)
Experience building and maintaining automated ETL/ELT pipelines, with a focus on performance, scalability, and reliability
Proficiency with version control systems (e.g., Git), working within CI/CD pipelines and experience with environments that depend on infrastructure-as-code
Experience writing unit and integration tests for data pipelines
Familiarity with data modeling techniques (e.g., dimensional modeling, star/snowflake schemas)
Experience with legacy, on-premises databases such as Microsoft SQL Server is preferred
Exposure to cloud platforms (e.g., AWS, Azure, GCP), cloud-native data tools, and data federation tools is a plus
Experience with SQL
Server Reporting Services (SSRS) is beneficial

Job Type: Contractual / Temporary
Contract length: 6 months

Pay: Up to ₹225,000.00 per month

Application Question(s):