Job Description
Senior Data Engineer
Location:
Remote from India
Hours:
U.S. Eastern Hours.
This is a part-time position requiring a minimum of 4 hours of work per day. Candidates should be available during U.S. Eastern Time business hours, ideally between +:00–11:00 AM and 1:00–3:00 PM EST. G iven that it will be an evening/night shift in India, w e are flexible with the hours, as long as you can commit to 4 or more hours during this window.
About Us:
Data Vizionaries specializes in data engineering and analytics. We seek an experienced Senior Data Engineer to build and optimize scalable data pipelines and architectures.
What you will be working with :
Data coming from various sources in various forms -> load into ADLS and Azure Blob Storage, develop ADF pipelines -> build DBT models -> load into Snowflake .
Key Responsibilities:
Develop and optimize ETL/ELT pipelines using Azure Data Factory (ADF).
Implement DBT models and macros for data transformation.
Maintain data lakes and warehouses with Azure Blob Storage, ADLS, and Snowflake .
Design efficient data models and implement RBAC in Snowflake.
Optimize SQL queries.
Develop Python
-based automation scripts.
Maintain CI/CD pipelines with Azure Dev Ops and Git .
Absolutely
Required Skills:
10+ years in data engineering and ETL development .
Expertise in Azure (ADF, Blob Storage, ADLS, Azure SQL).
Expertise in Snowflake .
Expertise in DBT .
Strong SQL and Python skills.
Experience with CI/CD, version control (Git), and Azure Dev Ops .
Location:
Remote from India
Hours:
U.S. Eastern Hours.
This is a part-time position requiring a minimum of 4 hours of work per day. Candidates should be available during U.S. Eastern Time business hours, ideally between +:00–11:00 AM and 1:00–3:00 PM EST. G iven that it will be an evening/night shift in India, w e are flexible with the hours, as long as you can commit to 4 or more hours during this window.
About Us:
Data Vizionaries specializes in data engineering and analytics. We seek an experienced Senior Data Engineer to build and optimize scalable data pipelines and architectures.
What you will be working with :
Data coming from various sources in various forms -> load into ADLS and Azure Blob Storage, develop ADF pipelines -> build DBT models -> load into Snowflake .
Key Responsibilities:
Develop and optimize ETL/ELT pipelines using Azure Data Factory (ADF).
Implement DBT models and macros for data transformation.
Maintain data lakes and warehouses with Azure Blob Storage, ADLS, and Snowflake .
Design efficient data models and implement RBAC in Snowflake.
Optimize SQL queries.
Develop Python
-based automation scripts.
Maintain CI/CD pipelines with Azure Dev Ops and Git .
Absolutely
Required Skills:
10+ years in data engineering and ETL development .
Expertise in Azure (ADF, Blob Storage, ADLS, Azure SQL).
Expertise in Snowflake .
Expertise in DBT .
Strong SQL and Python skills.
Experience with CI/CD, version control (Git), and Azure Dev Ops .
💡 Quick Summary
Seeking a career-building opportunity? The Sr. Data Engineer position is now open for candidates interested in the IT Engineer & Developer Jobs sector. This role in Lucknow offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in IT Engineer & Developer Jobs is a plus.
