Sr Data Engineer

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About The Role

Senior Data Engineer

Azure Data Platform

Snowflake

Key Responsibilities

• Design, build, and manage end-to-end data pipelines using Azure Data Factory (ADF), Azure Synapse Analytics, and Snowflake.
• Architect and implement data lakehouse and data warehouse solutions to meet analytical and operational needs.
• Develop and maintain ELT/ETL workflows, integrating diverse data sources (cloud and on-premise).
• Implement complex data transformations and enrichment logic using ADF, Synapse SQL, and Snowflake SQL.
• Partner with BI teams to enable Power BI datasets and reports through efficient data modeling.
• Monitor, troubleshoot, and optimize pipeline performance and data load processes.
• Use Azure DevOps Boards for agile delivery, sprint tracking, and progress management.
• Develop and maintain CI/CD pipelines for automated data workflow deployment using Azure DevOps.
• Collaborate with cross-functional teams to translate business needs into scalable data solutions.
• Mentor and support junior engineers in data engineering best practices.
  

Core Platforms

Technical Skills & Expertise

• Azure Services: Azure Data Factory (ADF), Azure Synapse Analytics, Azure SQL Database, Azure Data Lake Storage (ADLS), Azure Functions
• Snowflake: Database design, virtual warehouse optimization, query performance tuning, SnowSQL scripting
• Power BI: Data modeling, DAX, and integration with Azure/Snowflake
  

Programming & Scripting

• Proficiency in SQL and Python for data extraction, transformation, and automation.
• Experience designing data integration and orchestration pipelines using ADF or Synapse.
  

Data Architecture

• Strong understanding of Data Lakehouse / Medallion Architecture (Bronze, Silver, Gold).
• Expertise in Dimensional Modeling (Star and Snowflake schemas) and query optimization.
  

DevOps & CI/CD

• Hands-on experience with Azure DevOps Boards for agile delivery and team collaboration.
• Experience building CI/CD pipelines and managing Git-based version control.
• Familiarity with infrastructure-as-code (ARM, Bicep, or Terraform).
  

Professional Attributes

• Strong analytical and problem-solving mindset with attention to detail.
• Excellent communication and teamwork skills.
• Ability to work independently and manage multiple priorities in a hybrid environment.
• Passionate about data quality, performance, and continuous improvement.
  

Preferred Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field.
• Microsoft Certified: Azure Data Engineer Associate (DP-203) or SnowPro Core Certification preferred.
• Prior experience in data modernization or analytics transformation using Azure and Snowflake.
  

Why Join Us

• Work on cutting-edge Azure and Snowflake data solutions that impact enterprise analytics.
• Be part of a collaborative, innovation-focused team driving modernization initiatives.
• Enjoy a hybrid work setup in Hyderabad, offering flexibility and team engagement.
• Opportunity to influence architecture, performance, and data strategy at scale.