Job Description

Data Engineer



About the role:

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-premise 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: ₹225,000.00 per month

Benefits:

Work from home
Work Location: Remote