Azure ADF, Snowflake & Databricks Data Engineer
- Source: Naukri
- Collaborate Solutions
- On-site
- Hyderabad
- Full-Time
- Mid level
Job Description
Job Title: Azure ADF, Snowflake & Databricks Data Engineer
Location: Remote
Experience: 5-10 Years
Employment Type: Full Time
If you’re interested, please share your CV at [email protected]
Joining: Immediate Joiners Only
Job Description: We are looking for an experienced Azure Data Engineer with strong expertise in Azure Data Factory (ADF), Snowflake, and Databricks. The ideal candidate should have hands-on experience building scalable data pipelines, ETL/ELT solutions, and cloud-based data platforms using Azure technologies.
Required Skills:
5-10 years of experience in Data Engineering.
Strong hands-on experience with Azure Data Factory (ADF).
Extensive experience with Snowflake Data Warehouse.
Strong expertise in Azure Databricks and PySpark.
Proficiency in SQL and performance tuning.
Experience with Python for data engineering.
Knowledge of Azure Data Lake Storage (ADLS Gen2).
Experience developing ETL/ELT pipelines.
Familiarity with Git, Azure DevOps, and CI/CD.
Strong analytical and problem-solving skills.
Preferred Skills:
Experience with Power BI.
Knowledge of Delta Lake and Spark optimization.
Azure certifications are a plus.
Responsibilities:
Design, develop, and maintain scalable data pipelines.
Build ETL/ELT solutions using ADF and Databricks.
Develop and optimize Snowflake data models and SQL queries.
Integrate data from multiple sources into Azure Data Lake and Snowflake.
Monitor, troubleshoot, and optimize data workflows.
Collaborate with business stakeholders and development teams.
Skills
- microsoft-azure
- Snowflake
- azure-databricks
- databricks
- azure-data-factory
- pyspark
- Python
- azure-storage
- aws-data-lake-storage
- azure-devops
- power-bi
- delta-lake
- Spark
