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Analytics Engineer

Linkedin
4.1 / 5
Malappuram ₹ Not disclosed
Last week
On-Site
70%
Job Match Score

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About the job

Job Title: Analytics Engineer Location: Gurgaon Experience: 6-8 Years We are looking for an Senior Analytics Engineer to design, build, and maintain scalable analytics data models and transformation workflows. This role focuses on delivering high-quality, governed datasets for analytics and reporting while supporting exploratory and applied analytical use cases. Key Responsibilities • Design dimensional models, curated data marts, and semantic datasets for analytics consumption • Build and maintain transformation workflows using dbt • Develop and optimize data models in Snowflake or equivalent cloud data warehouses • Ensure data reliability through testing, validation, and monitoring • Maintain documentation, lineage, and version control for analytics assets • Collaborate with analysts and business stakeholders to translate requirements into scalable data models • Perform exploratory data analysis and develop analytical datasets/features to support downstream modeling initiatives Required Skills • Strong SQL proficiency (joins, window functions, optimization, complex transformations) • Hands-on experience with dbt • Experience working with Snowflake / BigQuery / Redshift • Solid understanding of dimensional modeling and data warehousing principles • Experience with Git/version control and data testing practices • Understanding of ELT workflows and modern data stack concepts Preferred / Good to Have • Python for analysis (pandas, scikit-learn) • Statistical fundamentals / exploratory analytics experience • Exposure to BI tools (Tableau / PowerBI / Looker) • Experience working with orchestration tools (Airflow or similar) Education Bachelor’s/Master’s in Engineering, Computer Science, Statistics, Mathematics, or related quantitative field.

Requirements

  • SQL
  • data modeling
  • data warehousing
  • ETL workflows
  • Python

Qualifications

  • Bachelor’s/Master’s in Engineering, Computer Science, Statistics, Mathematics, or related quantitative field

Preferred Technologies

  • SQL
  • data modeling
  • data warehousing
  • ETL workflows
  • Python

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About the company

LinkedIn is a professional networking platform that connects the world's professionals and offers job opportunities. The company prioritizes a data-driven approach in analytics and design.

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