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Azure Lead Data Engineer at EXL Talent Acquisition Team

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

21 Jun, 26

Salary

0.0

Posted On

23 Mar, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Azure Data Factory, Snowflake, DBT, SQL, Azure Cloud Platform, Data Integration, Data Warehousing, Data Quality, Data Governance, ETL, ELT, Data Analysis, Data Transformation, DevOps, Data Architects, Cloud-Native

Industry

Business Consulting and Services

Description

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: * Strong 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

The role involves designing and developing ETL/ELT pipelines using Azure Data Factory, Snowflake, and DBT, while building and maintaining data integration workflows from various sources. Responsibilities also include monitoring, troubleshooting, optimizing pipelines, and enforcing data quality and governance standards.