Data Engineer ( 4+ yrs Exp. ) F2F Interview

Interview Mode : 1 Virtul & 1 F2F Interview Locaiton : Mumbai. Job Summary: We are seeking an experienced Data Engineer with strong expertise in Snowflake, ETL, DBT, Azure Data Factory (ADF), and SQL. The ideal candidate will design, develop, and optimize scalable data pipelines, build modern cloud-based data warehouse solutions, and support analytics initiatives by delivering high-quality, reliable data. Must-Have Skills Snowflake Data WarehouseETL DevelopmentDBT (Data Build Tool)Azure Data Factory (ADF)Advanced SQLData Modeling (Star Schema/Snowflake Schema)Azure Cloud (Preferred)Performance Tuning & Query OptimizationGit Version ControlAgile/Scrum MethodologyKey Responsibilities Design, develop, and maintain scalable ETL/ELT pipelines using Azure Data Factory (ADF) and DBT.Build and optimize data warehouse solutions in Snowflake.Develop complex SQL queries, stored procedures, views, and data transformations.Integrate data from multiple sources into Snowflake using best ETL practices.Optimize Snowflake performance through clustering, partitioning, and query tuning.Create reusable DBT models, tests, documentation, and data quality checks.Monitor ETL jobs, troubleshoot failures, and ensure high data availability.Collaborate with Business Analysts, Data Analysts, and Data Scientists to understand business requirements.Implement data governance, security, and access control policies.Participate in code reviews and follow CI/CD and DevOps best practices.Required Qualifications Bachelor's degree in Computer Science, Information Technology, or related field.49 years of experience in Data Engineering.Hands-on experience with Snowflake, DBT, Azure Data Factory (ADF), ETL, and SQL.Strong understanding of data warehousing concepts and dimensional modeling.Experience working with large datasets and cloud-based data platforms.Knowledge of Git and Agile development methodologies.Preferred Skills Azure Data Lake Storage (ADLS)Azure DatabricksPython or PySparkAzure DevOpsPower BI or TableauREST APIsData Quality & Data GovernanceCI/CD Pipeline ImplementationNice to Have Snowflake SnowPro CertificationMicrosoft Azure Data Engineer Certification (DP-203)Experience with Airflow or other orchestration toolsExperience in Banking, Retail, Insurance, or Healthcare domainsKey Competencies Strong analytical and problem-solving skillsExcellent SQL optimization skillsGood communication and stakeholder managementTeam player with a proactive attitudeAbility to work independently in a fast-paced environment Interview Mode : 1 Virtul & 1 F2F Interview Locaiton : Mumbai. Job Summary: We are seeking an experienced Data Engineer with strong expertise in Snowflake, ETL, DBT, Azure Data Factory (ADF), and SQL. The ideal candidate will design, develop, and optimize scalable data pipelines, build modern cloud-based data warehouse solutions, and support analytics initiatives by delivering high-quality, reliable data. Must-Have Skills Snowflake Data WarehouseETL DevelopmentDBT (Data Build Tool)Azure Data Factory (ADF)Advanced SQLData Modeling (Star Schema/Snowflake Schema)Azure Cloud (Preferred)Performance Tuning & Query OptimizationGit Version ControlAgile/Scrum MethodologyKey Responsibilities Design, develop, and maintain scalable ETL/ELT pipelines using Azure Data Factory (ADF) and DBT.Build and optimize data warehouse solutions in Snowflake.Develop complex SQL queries, stored procedures, views, and data transformations.Integrate data from multiple sources into Snowflake using best ETL practices.Optimize Snowflake performance through clustering, partitioning, and query tuning.Create reusable DBT models, tests, documentation, and data quality checks.Monitor ETL jobs, troubleshoot failures, and ensure high data availability.Collaborate with Business Analysts, Data Analysts, and Data Scientists to understand business requirements.Implement data governance, security, and access control policies.Participate in code reviews and follow CI/CD and DevOps best practices.Required Qualifications Bachelor's degree in Computer Science, Information Technology, or related field.49 years of experience in Data Engineering.Hands-on experience with Snowflake, DBT, Azure Data Factory (ADF), ETL, and SQL.Strong understanding of data warehousing concepts and dimensional modeling.Experience working with large datasets and cloud-based data platforms.Knowledge of Git and Agile development methodologies.Preferred Skills Azure Data Lake Storage (ADLS)Azure DatabricksPython or PySparkAzure DevOpsPower BI or TableauREST APIsData Quality & Data GovernanceCI/CD Pipeline ImplementationNice to Have Snowflake SnowPro CertificationMicrosoft Azure Data Engineer Certification (DP-203)Experience with Airflow or other orchestration toolsExperience in Banking, Retail, Insurance, or Healthcare domainsKey Competencies Strong analytical and problem-solving skillsExcellent SQL optimization skillsGood communication and stakeholder managementTeam player