Description :

We are looking for a Data Engineer Lead with 8+ years of experience in designing and implementing modern data platforms, ETL/ELT pipelines, and cloud-based analytics solutions.

The role requires strong expertise in Microsoft Fabric, Databricks, Snowflake, and Power BI, along with proficiency in SQL and Python/Scala.

The candidate will lead data architecture initiatives, optimize data lake and warehouse solutions, enforce data governance and security standards, and collaborate with business and analytics teams to deliver scalable, high-performance data solutions.

What You Will Do :

Following are high level responsibilities that you will play but not limited to :

- Lead the design, development, and implementation of modern data pipelines, data models, and ETL/ELT processes.

- Architect and optimize data lake and warehouse solutions using Microsoft Fabric, Databricks, or Snowflake.

- Enable business analytics and self-service reporting through Power BI and other visualization tools.

- Collaborate with data scientists, analysts, and business users to deliver reliable and high-performance data solutions.

- Implement and enforce best practices for data governance, data quality, and security.

- Mentor and guide junior data engineers; establish coding and design standards.

- Evaluate emerging technologies and tools to continuously improve the data ecosystem.

Required Qualifications :

- Bachelor's degree in computer science, Information Technology, Engineering, or a related field.

- Bachelors/Masters degree in Computer Science, Information Technology, Engineering, or related field.

- 8+ years of experience in data engineering or data platform development, with at least 23 years in a lead or architect role.

Strong hands-on experience in one or more of the following :

- Microsoft Fabric (Data Factory, Lakehouse, Data Warehouse).

- Databricks (Spark, Delta Lake, PySpark, MLflow).

- Snowflake (Data Warehousing, Snow Pipe, Performance Optimization).

- Power BI (Data Modeling, DAX, Report Development).

- Proficiency in SQL and programming languages like Python or Scala.

- Experience with Azure, AWS, or GCP cloud data services.

- Solid understanding of data modeling, data governance, security, and CI/CD practices.

Preferred Qualifications :

- Familiarity with data modeling techniques and practices for Power BI.

- Knowledge of Azure Databricks or other data processing frameworks.

- Knowledge of Microsoft Fabric or other Cloud Platforms.