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