Tech lead - Data Engineer

Data Engineer – Azure Databricks
Location: Remote
Experience: 8+ Years
Employment Type: Full-time
Job Description
We are looking for an experienced Data Engineer with strong expertise in Azure data technologies, data engineering, ETL, data modelling, data warehousing, and business intelligence.
Key Responsibilities:
Develop and maintain data lakes and data platforms.
Design and implement ETL pipelines for data warehouses and data lakes.
Understand business and reporting requirements and deliver scalable data solutions.
Work on data modelling, ETL, metadata, reporting, and dashboarding.
Work with large datasets to support business decision-making.
Develop SQL and Python scripts.
Build and maintain Microsoft Power BI dashboards and reports.
Collaborate with business and technical teams to deliver end-to-end solutions.
Required Skills:
8+ years of experience in Data Engineering.
Strong experience with SQL, Python, ETL, Data Modelling, Data Warehousing, and Data Lakes.
Experience with Azure Data Factory.
Hands-on experience with Spark and Azure Databricks.
Experience with Microsoft Power BI.
Knowledge of MPP databases.
Familiarity with Python, PySpark, or JavaScript.
Exposure to NoSQL databases such as Cosmos DB or MongoDB.
Experience with Agile methodologies and Git.
Strong verbal and written communication skills.
Good to Have:
Experience with MuleSoft, KingsWaySoft, or Marketo.
Interested candidates can apply through this job posting or share their updated CV at:
📧 talent@qucatalyst.com
Please mention “Data Engineer – Azure Databricks” in the subject line.

Work arrangement
No