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Senior Data Engineer

Job in 500001, Hyderabad, Telangana, India
Listing for: Anblicks
Full Time position
Listed on 2026-02-05
Job specializations:
  • IT/Tech
    Data Engineer, Data Science Manager, Data Analyst, Cloud Computing
Job Description & How to Apply Below
Anblicks is hiring Snowflake Data Engineers in Hyderabad.

Anblicks  is Data and AI Company – We bring value to your data.

Anblicks is a Data and AI company, specializing in data modernization and transformation, that helps organizations across industries make decisions better, faster, and bling Enterprises with Data-Driven Decision Making. Since 2004, Anblicks has been enabling customers across the globe, with their digital transformation journey. Anblicks is headquartered in Addison, Texas, and employs more than 550 technology professionals, data analysts, and data science experts in the USA, India, and Australia.

Anblicks is committed to bringing value to various industries using Cloud Ops, Data Analytics, and Modern Apps. Global customers benefited from our Anblicks Ignite Enterprise Data Platform and Accelerators.

Roles & Responsibilities :

Design, develop, and maintain scalable ETL/ELT pipelines in  Snowflake  to support data migration from legacy systems.
Leverage  Python  for data transformation, automation, and orchestration of migration workflows.
Optimize and refactor complex  SQL queries  to ensure efficient data processing and reporting in Snowflake.
Collaborate on  data modeling and schema design  to align with Snowflake architecture and performance best practices.
Monitor and troubleshoot data pipeline performance during and after migration phases.
Work closely with data analysts, scientists, and business stakeholders to ensure accurate and timely data delivery.
Implement and enforce  data governance, security policies , and access controls within Snowflake.
Collaborate with Dev Ops teams to integrate data engineering workflows into broader CI/CD frameworks.

Required Skills:

4–6 years of experience in  data engineering , with proven expertise in  Snowflake  and  Python .
Strong command of  Snowflake features  such as scripting, time travel, virtual warehouses, and query optimization.
Hands-on experience with  ETL tools , data integration strategies, and migration methodologies.
Solid understanding of  data warehousing principles , normalization techniques, and performance optimization.
Familiarity with  cloud platforms  (AWS, Azure, or GCP) and orchestration tools.
Excellent problem-solving skills and ability to work independently in a dynamic, fast-paced environment.
Understanding of version control systems, particularly Git, including branching, merging, and pull request workflows

Experience with Snowflake advanced features including Snowpipe, Streams, Tasks, and Stored Procedures.
Familiarity with ETL orchestration tools such as Airflow, DBT, or Matillion.
Ability to work with semi-structured data formats like JSON and Parquet.
Position Requirements
10+ Years work experience
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