10 years of hands-on experience in data engineering with a strong focus on ETL/ELT pipeline development

Solid proficiency in SQL and at least one programming language (Python preferred)

Hands-on experience with ETL/orchestration tools such as Apache Airflow, dbt, Informatica, Talend, or SSIS

Solid experience with cloud data platforms (AWS Redshift/Glue, Azure Data Factory/Synapse, or GCP BigQuery/Dataflow)

Experience working with both relational databases (PostgreSQL, MySQL, SQL Server) and big data technologies (Spark, Hadoop, Hive)

Strong understanding of data warehousing concepts, dimensional modeling, and data architecture principles

Working knowledge of Power BI — building data models, writing DAX, and designing dashboards/reports connected to enterprise data pipelines

Understanding of Power BI performance optimization (incremental refresh, aggregations, query folding, Import vs. DirectQuery trade-offs)

Experience with data pipeline orchestration, scheduling, and monitoring frameworks

Familiarity with version control (Git) and CI/CD pipelines for data engineering workflows

Key Responsibilities

Design, develop, and maintain robust, scalable ETL/ELT pipelines to ingest data from diverse sources (databases, APIs, flat files, streaming sources)

Build and optimize data models (star/snowflake schemas) for data warehouses and data lakes, structured for efficient BI consumption

Own end-to-end pipeline orchestration, monitoring, and error handling to ensure high reliability and data quality

Optimize SQL queries and pipeline performance for large-scale datasets





Partner with BI developers and business stakeholders to design semantic layers and datasets that support Power BI dashboards and reports

Build and maintain Power BI data models (star schema), DAX measures, and dataset refresh pipelines, ensuring alignment with underlying ETL structures

Optimize Power BI datasets and queries for performance, including incremental refresh strategies and efficient data source connections (Import vs. DirectQuery)

Implement data quality checks, validation frameworks, and observability/monitoring for pipelines

Manage and evolve CI/CD practices for data pipeline (and where applicable, Power BI deployment pipeline) releases

Ensure data governance, security, and row-level security (RLS) standards are met across pipelines and Power BI reports

Mentor junior data engineers and contribute to engineering best practices and documentation

Troubleshoot and resolve production pipeline and reporting issues, ensuring minimal downtime

Note: Please send Cv only, who can attend the interview weekdays, with short notice period (max 15 days only)

Job Location: Chennai (Work From Office, working hours are 1:00 PM to 10:00 PM (IST), Monday to Friday)

If this interests you kindly forward, your latest updated profile as reply to this mail & we will call you at your convenient time for provide more details.

We would really appreciate if you refer any of your friends and colleagues....!

Pay: ₹2,379,729.59 - ₹4,569,572.92 per year

Benefits

- Provident Fund

Work Location: In person

📌 Senior ETL Data Engineer (Chennai)
🏢 Global Technologies
📍 Chennai