Data Engineer
- Spring Computing
- 1 - 5 years
- Pune
- 6 months ago
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Job Description
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
Requirements
- 5+ years of professional experience in data engineering, analytics engineering, or related fields
- Bachelors 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 Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Data EngineerEmployement Type: Full timeContact Details:
Company: Spring ComputingLocation(s): Pune+ View Contact
Keyskills: Performance tuning Manager Quality Assurance Version control Data modeling SSRS Agile Data quality Analytics Monitoring
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