Data Specialist - R01569581

Bangalore / Hyderabad / Pune / Chennai / Gurgaon

We are seeking a skilled Data Engineer with strong expertise in Snowflake, DBT, SQL, and Python to design, develop, and maintain scalable data solutions. The ideal candidate will have hands-on experience building modern data pipelines, implementing data warehouse solutions, and enabling analytics through efficient data modeling and transformation practices.

• →Design, build, and maintain scalable ETL/ELT data pipelines using DBT, SQL, and Python.
• →Develop and optimize Snowflake-based data warehouse solutions for enterprise analytics and reporting.
• →Create robust data models and transformation frameworks to support business requirements.
• →Implement data ingestion, cleansing, transformation, and validation processes.
• →Develop and maintain stored procedures, views, and database objects within cloud data platforms.
• →Optimize SQL queries, data models, and pipelines for performance and scalability.
• →Work closely with business stakeholders, analysts, and engineering teams to translate requirements into technical solutions.
• →Monitor data quality and troubleshoot data-related issues across platforms.
• →Leverage Snowflake features such as Snowpipe, Time Travel, Zero Copy Cloning, and Fail Safe.
• →Participate in code reviews, testing, deployment, and documentation activities.
• →Support data governance, security, and best practices across the data ecosystem.

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• Strong hands-on experience with Snowflake Data Warehouse.
• Experience with:
• Snowpipe
• Zero Copy Cloning
• Time Travel
• Fail Safe
• SnowSQL
• Data Sharing/Data Exchange
• Performance tuning and optimization of Snowflake workloads.

• Strong expertise in DBT (Data Build Tool).
• Experience developing reusable transformation models.
• Understanding of DBT testing, documentation, and deployment practices.

• Advanced SQL skills with experience handling large-scale datasets.
• Expertise in query optimization, joins, analytical functions, and performance tuning.
• Experience with stored procedures and database development.

• Strong Python programming skills for data processing and automation.
• Experience with data engineering frameworks and scripting.

• Strong understanding of ETL/ELT concepts and modern data architectures.
• Experience in data warehousing and dimensional modeling.
• Knowledge of data governance, data quality, and metadata management.

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• Experience with orchestration tools such as Airflow.
• Exposure to cloud platforms such as AWS, Azure, or GCP.
• Knowledge of CI/CD practices and Git-based version control.
• Experience with reporting and visualization tools such as Power BI, Tableau, or Looker.
• Exposure to AI/GenAI capabilities within data engineering solutions.

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• Snowflake SnowPro Certification
• DBT Certification
• AWS/Azure/GCP Data Engineering Certifications
• Databricks or Cloud Data Platform Certifications

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• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.

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