Data Engineer

2 weeks ago

Remote, India VAIDHYA GROUP Full time ₹ 13,50,000 - ₹ 27,00,000 per year

Data Engineer

Job Description

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

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