▷ (Only 24h Left) Lead Data Engineer

2 weeks ago

Hyderabad, India Anblicks Full time

Lead Data EngineerLocation: Hyderabad or AhmedabadExperience: 8+ yearsSkills: Snowflake, Python/Pyspark, SQLOnly Immediate to 15 Days joiners apply.Key Responsibilities:- Lead the end-to-end Snowflake platform implementation, including architecture, design, data modeling, and governance. - Oversee the migration of data and pipelines from legacy platforms to Snowflake, ensuring quality, reliability, and business continuity. - Design and optimize Snowflake-specific data models, including use of clustering keys, materialized views, Streams, and Tasks. - Build and manage scalable ELT/ETL pipelines using modern tools and best practices. - Define and implement standards for Snowflake development, testing, and deployment, including CI/CD automation. - Collaborate with cross-functional teams including data engineering, analytics, DevOps, and business stakeholders. - Establish and enforce data security, privacy, and governance policies using Snowflake's native capabilities. - Monitor and tune system performance and cost efficiency through appropriate warehouse sizing and usage patterns. - Lead code reviews, technical mentoring, and documentation for Snowflake-related processes. - Directs technical quality efforts, including code reviews and performance tuning, to ensure the system meets high standards before deployment. - Leads the technical planning for deployment, oversees the cutover process, and ensures the system is stable, monitored, and performant in the production environment.Required Snowflake Expertise:- Snowflake Architecture – Deep understanding of virtual warehouses, data sharing, multi-cluster, zero-copy cloning. - Performance Optimization – Proficient in tuning queries, clustering, caching, and workload management. - Data Engineering – Experience with Snowpipe, Streams & Tasks, stored procedures (JavaScript-based), and data ingestion patterns. - Data Security & Governance – Strong experience with RBAC, dynamic data masking, row-level security, and tagging. - Advanced SQL – Expertise in complex SQL queries, transformations, semi-structured data handling (JSON, XML). - Cloud Integration – Integration with major cloud platforms (AWS/GCP/Azure) and services like S3, Lambda, Step Functions, etc. - Experience with ETL orchestration tools such as Airflow, DBT, and Matillion. - Proficiency in handling semi-structured data formats, including JSON and Parquet. - Familiarity with Git-based version control systems, including branching, merging, and pull request workflows.engineering.

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