Full Time Data Engineer in Pune
INR 700,000 ~ 8,000,000/Annual
Full Time Data Engineer in Pune
INR 700,000 ~ 8,000,000/Annual
Data Engineer ( Python / SQL / AWS / Snowflakes)
Mediabrands - India
Kalyani Nagar, Pune, Maharashtra, 411006
Job type:
full-time
Work style:
work-from-office
Experience:
3-5-years
Qualification:
bachelors-degree
Language:
Nationality:
Skills required:
Python | SQL | AWS | Snowflakes | Data management | Data Sets | ETL / ELT development | Data architecture & pipeline design | API integration and automation
Visa Status:
any-visa
Benefits:
Health Insurance
Added on:
25 Sep 16:48
Job overview
Responsibilities
Create and maintain optimal data pipeline architecture, assemble large, complex data sets that meet functional / non-functional business requirements using Python and SQL / AWS / Snowflakes.
Identify, design, and implement internal process improvements through automating manual processes using Python, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL / AWS / Snowflakes technologies.
Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
Work with data and analytics experts to strive for greater functionality in our data systems.
Create and maintain optimal data pipeline architecture, assemble large, complex data sets that meet functional / non-functional business requirements using Python and SQL / AWS / Snowflakes.
Identify, design, and implement internal process improvements through automating manual processes using Python, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL / AWS / Snowflakes technologies.
Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
Work with data and analytics experts to strive for greater functionality in our data systems.
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