Snowflake Data Engineer

1 day ago

New Delhi, India Anblicks Full time

Snowflake Data Engineer – Early Joiners PreferredLocation: Hyderabad / Ahmedabad (Hybrid)Experience: 5+ YearsOpenings: 10Company: Anblicks Inc. – Great Place to Work® Certified | ❄️Snowflake Elite Partner (3 Years in a Row)Preferred:Early Joiners / Immediate Joiners (within 15–30 days) highly preferred.About AnblicksAnblicks is a Great Place to Work® Certified Cloud Data Engineering Company and a Snowflake Elite Partner for 3 consecutive years, helping enterprises modernize, migrate, and monetize their data with next-gen cloud solutions.We partner with global clients to deliver Data Analytics, Cloud, and Digital Transformation solutions that create measurable impact.Key Responsibilities- Design, develop, and optimize high-performance ETL/ELT pipelines using Snowflake, Python, and cloud-native tools. - Implement and automate data ingestion using Snowpipe, Streams, and Tasks. - Utilize SnowSQL for query development, data loading/unloading, and administrative tasks. - Design and manage data models, schemas, and warehouses following Snowflake’s best practices. - Leverage Time Travel and Cloning features for data recovery, auditing, and testing. - Optimize query performance through clustering, micro-partitioning, and result caching. - Manage user roles, security policies, and data governance within Snowflake. - Orchestrate workflows using Airflow, DBT, or Matillion and integrate with CI/CD pipelines. - Collaborate with DevOps and analytics teams for data delivery, monitoring, and optimization.Required Skills & Expertise- 5+ years of experience in Data Engineering with strong hands-on expertise in Snowflake Cloud Data Platform and Python. - Proficient in Snowflake components & features: - SnowSQL, Snowpipe, Streams, Tasks, Time Travel, Zero-Copy Cloning, Query Optimization, Virtual Warehouses, Resource Monitors, Data Sharing, and Data Marketplace. - Strong SQL programming skills and experience in ETL design, data transformation, and performance tuning. - Experience with AWS Preferred or other major cloud platforms. - Hands-on with Git-based version control and agile data delivery practices. - Familiarity with semi-structured data (JSON, Parquet, Avro) and data warehousing concepts. - Excellent analytical thinking, communication, and collaboration skills.

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