Data Specialist - R01569581

Lead Data Engineer Primary Skills - BigTable, Cloud Functions, Cloud Spanner, GKE Specialization - GCP Data Engineer Advanced: Senior Data Engineer Job requirements Job Title: Data Engineer – Snowflake, DBT, Python & SQL Experience 5–8 Years Location Bangalore / Hyderabad / Pune / Chennai / Gurgaon Job Summary 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. Key Responsibilities - 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. Required Skills Snowflake - 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. DBT - Strong expertise in DBT (Data Build Tool). - Experience developing reusable transformation models. - Understanding of DBT testing, documentation, and deployment practices. SQL - 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. Python - Strong Python programming skills for data processing and automation. - Experience with data engineering frameworks and scripting. Data Engineering - 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. Preferred Skills - 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. Educational Qualifications - Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. Preferred Certifications - Snowflake SnowPro Certification - DBT Certification - AWS/Azure/GCP Data Engineering Certifications - Databricks or Cloud Data Platform Certifications Primary Skills Snowflake, DBT, SQL, Python Secondary Skills Data Modeling, ETL/ELT, Airflow, AWS/Azure/GCP, Power BI/Tableau, Data Warehousing