Key Responsibilities:
* Design and develop ETL/ELT pipelines using Azure Data Factory, Snowflake, and
DBT.
* Build and maintain data integration workflows from various data sources to
Snowflake.
* Write efficient and optimized SQL queries for data extraction and
transformation.
* Work with stakeholders to understand business requirements and translate them
into technical solutions.
* Monitor, troubleshoot, and optimize data pipelines for performance and
reliability.
* Maintain and enforce data quality, governance, and documentation standards.
* Collaborate with data analysts, architects, and DevOps teams in a
cloud-native environment.
Must-Have Skills:
* Robust experience with Azure Cloud Platform services.
* Proven expertise in Azure Data Factory (ADF) for orchestrating and automating
data pipelines.
* Proficiency in SQL for data analysis and transformation.
* Hands-on experience with Snowflake and SnowSQL for data warehousing.
* Practical knowledge of DBT (Data Build Tool) for transforming data in the
warehouse.
* Experience working in cloud-based data environments with large-scale
datasets.
Good-to-Have Skills:
* Experience with DataStage, Netezza, Azure Data Lake, Azure Synapse, or Azure
Functions.
* Familiarity with Python or PySpark for custom data transformations.
* Understanding of CI/CD pipelines and DevOps for data workflows.
* Exposure to data governance, metadata management, or data catalog tools.
* Knowledge of business intelligence tools (e.g., Power BI, Tableau) is a plus.
Qualifications:
* Bachelor’s or Master’s degree in Computer Science, Data Engineering,
Information Systems, or a related field.
* 8+ years of experience in data engineering roles using Azure and Snowflake.
* Strong problem-solving, communication, and collaboration skills.
RESPONSIBILITIES
Key Responsibilities:
* Design and develop ETL/ELT pipelines using Azure Data Factory, Snowflake, and
DBT.
* Build and maintain data integration workflows from various data sources to
Sno
📌 Azure Lead Data Engineer (Bengaluru)
🏢 EXL
📍 Bengaluru