Data Engineer

About the Role

We are seeking a skilled Data Engineer with strong experience in Databricks, Microsoft Fabric, or Snowflake , along with Power BI expertise , to design, build, and optimize scalable data pipelines and analytics solutions. You will also play a key role in enabling effective data visualization and reporting for business stakeholders.

Key Responsibilities

Design, develop, and maintain ETL / ELT pipelines using Databricks, Fabric, or Snowflake.

Build and optimize data workflows for performance, scalability, and cost efficiency in cloud environments (Azure / AWS / GCP).

Implement and manage data lakes, data warehouses, or lakehouse architectures .

Develop and maintain Power BI dashboards and reports to support business insights and decision-making.

Collaborate with cross-functional teams to define data requirements, governance standards, and best practices .

Ensure data quality, integrity, and security across all platforms.

Automate workflows and support CI / CD deployments for data solutions.

Monitor and troubleshoot pipelines and dashboards to ensure high availability and reliability.

Required Qualifications

Bachelor’s / Master’s degree in Computer Science, Information Technology, Engineering, or related field.

Proven experience as a Data Engineer with expertise in Databricks OR Fabric OR Snowflake .

Hands-on experience with Power BI (data modeling, DAX, dashboard creation, performance optimization).

Strong proficiency in SQL and at least one programming language (Python / Scala / Java).

Experience with data modeling and building scalable pipelines in cloud environments.

Knowledge of Azure, AWS, or GCP and their data ecosystem.

Strong problem-solving, analytical, and communication skills.

Preferred Qualifications

Experience with streaming data technologies (Kafka, Event Hubs, Kinesis).

Knowledge of Delta Lake, Synapse, or Snowflake performance optimization .

Familiarity with DevOps practices for data (CI / CD, Git, Infrastructure as Code).

Exposure to machine learning pipelines or advanced analytics.

Understanding of data governance, lineage, and compliance frameworks .