We are looking for a hands-on Analytics Engineer who can work across both data engineering and analytics/reporting. This is not a Power BI-only role. The ideal candidate should be comfortable owning data tasks end-to-end - from understanding source data and building transformation pipelines to creating well-designed datasets and Power BI dashboards.

Responsibilities

Key Responsibilities

- Build, maintain, and enhance data pipelines and transformation workflows using dbt and python DAG in Airflow.
- Develop clean, reliable, and reusable data models for analytics and reporting.
- Work with SQL and data warehouse platforms to investigate data, troubleshoot issues, and implement transformations.
- Develop and maintain Power BI dashboards, reports, semantic models, and DAX measures.
- Translate business requirements into appropriate data models and reporting solutions.
- Perform data analysis, validation, reconciliation, and data quality checks.
- Troubleshoot data issues across the pipeline, from source through transformation to reporting.
- Take ownership of assigned tasks and independently drive them through development, testing, and completion.




- Work closely with business, analytics, and engineering teams to deliver production-ready solutions.
- AI Forward - Understand how to marry AI tools to enhance productivity on tasks

Required Skills

- Strong SQL and data analysis skills.
- Strong Python for data pipelines for complex transformations and integrations.
- Hands-on experience with dbt and/or up-to-date ELT/data transformation practices.
- Solid understanding of data modeling, including dimensional modeling, fact/dimension structures, and analytics datasets.
- Experience working with a modern cloud data warehouse, preferably Snowflake.
- Strong working experience with Power BI, including data modeling, DAX, dashboard development, and performance considerations.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Big Data Lead (Navi Mumbai)
🏢 Hexaware Technologies
📍 Navi Mumbai