Data Engineer

17 hours ago

Pacific Remote Islands Marine National Monument, India Digital Rath Full time

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):

  • How many years of experienced do you have as a Data Engineer?

Experience:

  • Data Engineering : 6 years (Required)
  • Analytics Engineering : 6 years (Required)

Work Location: Remote

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