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 .