Snowflake Data Engineer
3 weeks ago
Snowflake Data Engineer – Early Joiners Preferred
Location: Hyderabad / Ahmedabad (Hybrid)
Experience: 5+ Years
Openings: 10
Company: 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 Anblicks
Anblicks 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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