Posted:5 days ago|
Platform:
Work from Office
Full Time
Job Title: Senior Data Engineer ADF | Snowflake | DBT | Databricks Experience: 5 to 8 Years Locations: Pune / Hyderabad / Gurgaon / Bangalore (Hybrid) Job Type: Full Time, Permanent Job Description: We are hiring for a Senior Data Engineer role with strong expertise in Azure Data Factory (ADF) , Snowflake , DBT , and Azure Databricks . The ideal candidate will be responsible for designing, building, and maintaining scalable cloud-based data pipelines and enabling high-quality data delivery for analytics and reporting. Key Responsibilities Build and manage ETL/ELT pipelines using ADF, Snowflake, DBT, and Databricks Create parameterized, reusable components within ADF pipelines Perform data transformations and modeling in Snowflake using DBT Use Databricks for data processing using PySpark/SQL Collaborate with stakeholders to define and implement data solutions Optimize data workflows for performance, scalability , and cost-efficiency Ensure data quality, governance, and documentation standards Mandatory Skills Azure Data Factory (ADF) Snowflake DBT (Data Build Tool) Azure Databricks Strong SQL and data modeling experience Good-to-Have Skills Azure Data Lake, Azure Synapse, Blob Storage CI/CD using Azure DevOps or GitHub Python scripting, PySpark Power BI/Tableau integration Experience in metadata/data governance tools Role Requirements Education : Bachelors/Masters degree in Computer Science, Data Engineering, or related field Certifications : Azure or Snowflake certification is a plus Strong problem-solving and communication skills Keywords: Azure Data Factory, ADF, Snowflake, DBT, Azure Databricks, PySpark, SQL, Data Engineer, Azure Data Lake, ETL, ELT, Azure Synapse, Power BI, CI/CD
Lorven Technologies
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