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Job Description & How to Apply Below
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.
5-7 years of experience in Data Engineering.
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 Dev Ops 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
Position Requirements
10+ Years
work experience
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