Senior Analytics Engineer
2 weeks ago
Company Description
helps businesses turn strategy into measurable outcomes by bridging the gap between data consulting and engineering execution. We specialize in designing and operationalizing Data & AI ecosystems that deliver real impact, from defining data strategies to building predictive models and intelligent dashboards. Our strength lies in combining business understanding, product thinking, and modern technology to solve real-world problems. Founded by analytics and technology leaders, delivers enterprise consulting rigor with the agility of a modern data lab, focusing on outcomes that matter most: efficiency, growth, and competitive advantage.
Role Description
This is a full-time on-site role for a Senior Analytics Engineer located in Chennai. The Senior Analytics Engineer will be responsible for the design, development, and deployment of data pipelines, data modeling, and Extract Transform Load (ETL) processes. The candidate will also work on data warehousing solutions and provide valuable data analytics insights to drive business decisions. Collaboration with cross-functional teams to integrate data strategies and streamline processes is essential.
Qualifications
Experience: Over 5 years of hands-on experience in data engineering and analytics, with proven expertise in building and maintaining scalable data pipelines and models.
Database Expertise: Strong proficiency in SQL for data extraction, transformation, and performance tuning across large datasets.
Cloud Data Warehouses: Extensive experience working with Snowflake or Google BigQuery, including query optimization, warehouse management, and cost control.
Data Transformation: Skilled in dbt (Data Build Tool) for developing modular, version-controlled, and production-grade data models.
Workflow Orchestration: Proficient in Apache Prefect for automating and scheduling complex data workflows.
Data Visualization: Practical experience with Domo/Power BI for creating insightful, business-driven dashboards and reports.
Data Modeling: Expertise in designing and implementing robust data models optimized for analytics and reporting.
Programming: Strong programming knowledge in Python, with experience in developing data transformation scripts, APIs, and automation utilities.
Availability: Immediate joiner, ready to contribute from day one.
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