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Analytical Engineer (6 Months Contract)

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Remote

Analytical Engineer (6 Months Contract)

Cerebra

Analytical Engineer (6 Months Contract)

Skills

SQL QueriesData EngineeringTableauSnowflakeDatabricksData AnalysisPower BI

1 month ago

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Important information


Contract type:

Permanent

Location:

Hyderabad, Telangana, India

Work mode:

Remote

Published on:

8 September 2026

What they need


Role: Analytics Engineer /Data Engineer

Experience: 8+ years

Location: Remote India
Duration: 6 Months (potential extension depending on performance and results)
Work Hours: 6:30 PM3:30 AM IST
Interview Process: 2 Rounds

Notice period: Immediate to 15 days (who are serving notice period preferred)

Candidates should demonstrate Medallion Architecture (Bronze/Silver/Gold), semantic layer design, curated business-ready datasets, data governance, lineage, metadata management, and strong SQL/data transformation skills. Experience translating business concepts into governed analytical assets and working within enterprise data governance frameworks is highly preferred.

Prioritize Profiles With:

  • Medallion Architecture (Bronze/Silver/Gold)
  • Data Product Ownership
  • Semantic Layer Design & Management
  • Databricks / Fabric / Snowflake
  • Data Lineage & Metadata Management
  • Data Governance & Domain Modeling
  • Curated Analytics-Ready Datasets
  • Strong SQL and Complex Transformations
  • Enterprise Analytics Engineering experience

Reject Profiles Focused On:

  • Power BI Developers
  • Tableau Developers
  • Dashboard/Report Developers
  • Reporting Analysts
  • BI Developers without hands-on Data Engineering
  • Traditional ETL Developers without semantic modeling or data product ownership
  • Candidates lacking Databricks, Fabric, Snowflake, or modern lakehouse platform experience

Job Description:

Analytics Engineer Requirements:

  • Very strong SQL
  • Experience in ETL and complex data transformations
  • Strong attention to sematic modeling
  • Experience in 3-tier/medallion architectures
  • Understanding of warehouse modeling - fact and dimensions, star/snowflake schemas
  • Experience in BI tooling (understanding the data requirements for BI development and how data is sourced for BI)
  • Experience in Snowflake, Databricks, or similar cloud-native data warehouse

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