Senior Technical Lead

Job description

Highly skilled Data Engineer with strong expertise in Snowflake and dbt should possess extensive hands-on experience in designing, building, optimizing, and maintaining modern cloud-based data platforms. The candidate must have a strong foundation in Data Warehousing, ETL/ELT processes, Data Modeling, SQL, and RDBMS technologies along with the ability to develop scalable and high-performing data solutions. Key Responsibilities Design, develop, and maintain scalable data pipelines using Snowflake and dbt. Build and optimize data warehouse solutions to support analytics and reporting requirements. Develop ELT/ETL frameworks and data transformation processes using industry best practices. Design and implement dimensional and normalized data models. Write Complex SQL queries when required. Create reusable dbt models, macros, tests, snapshots, and documentation. Optimize Snowflake performance, storage, and compute costs. Develop and maintain data ingestion frameworks from various source systems. Implement data quality checks, monitoring, and governance controls. Collaborate with business analysts, architects, and stakeholders to translate business requirements into technical solutions. Troubleshoot and resolve production issues related to data pipelines and warehouse performance. Ensure adherence to security, compliance, and data management standards. Skill Requirements Snowflake Strong hands-on experience in Snowflake architecture and administration. Expertise in: Virtual Warehouses Snowflake Storage & Compute Optimization Complex Query writing and Performance Tuning Clustering & Partitioning Strategies Snowpipe Streams & Tasks Time Travel & Fail-safe Data Sharing Role-Based Access Control (RBAC) Experience with Snowflake migration projects and performance optimization. dbt Extensive hands-on experience in: dbt Core and/or dbt Cloud dbt Models Macros Seeds Snapshots Incremental Models CI/CD Integration Data Lineage and Governance Data Warehousing Strong understanding of: Dimensional Modeling Star and Snowflake Schemas Data Lake and Data Warehouse Architectures SCD Type 1 & Type 2 Implementations ETL / ELT Extensive experience in designing and implementing ETL/ELT solutions. Expertise in handling complex data transformations and large-volume data processing. Databases Strong knowledge of multiple RDBMS platforms including: Oracle/SQL Server/PostgreSQL etc.. Other Requirements Good to Have Skills Cloud platforms: AWS, Azure, or GCP. Data integration tools such as Informatica, Matillion, Fivetran, Talend, or Azure Data Factory. CI/CD tools such as GitHub, GitLab, Azure DevOps, Jenkins. Exposure to data governance and data quality frameworks. Apply now Information at a Glance Why HCLTech? At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first. HCLTech is a global technology company, home to more than 223,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. 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