Data Analytics Power BI ETL

Role Overview

The Data Analytics Engineer is responsible for designing developing and maintaining data pipelines transforming raw data into analytical datasets and delivering dashboards and insights using Power BI. The role ensures reliable data flows optimized reporting models and high-quality analytics for business users.

Key Responsibilities

       Develop and maintain ETL/ELT pipelines using tools such as SQL SSIS ADF or similar.

       Clean transform and model data for reporting and analytics.

       Design and build interactive Power BI dashboards reports and semantic models.

       Optimize DAX queries data models and dataset refresh performance.

       Work with business stakeholders to gather requirements and convert them into analytical solutions.

       Ensure data accuracy consistency and governance across sources and reports.

       Integrate data from databases APIs cloud storage and enterprise systems.

       Monitor data pipelines troubleshoot failures and ensure timely refresh cycles.

       Document ETL processes data flows and reporting logic.

Skills & Experience

       46 years in data analytics BI development or ETL engineering.

       Strong expertise in Power BI DAX Power Query (M) and data modeling.

       Strong SQL skills (joins CTEs stored procedures performance tuning).

       Experience with ETL/ELT tools: SSIS ADF Talend Informatica or similar.

       Understanding of data warehousing concepts: star schema fact/dim tables.

       Good knowledge of cloud data platforms (Azure AWS GCP) is a plus.

       Strong analytical mindset and business communication skills.

       Preferred certifications: Power BI Data Analyst Associate Azure Data Engineer.

Qualifications :

Educational qualification:

B.E/ or Equivalent Degree

Experience :

48 years

Mandatory/requires Skills :

Power BI DAX Power Query (M) and data modeling.

Preferred Skills :

Remote Work :

No

Employment Type :

Part-time