TreQ

https://treq-sim.com

Founded :

2022

Type :

Products & Services

Size :

0-20

Stage :

Raised funding

About

Founded in 2022, TreQ is platform for Global Trade with the vision to transform cross-border banking and trade for India and the world by helping exporters/importers setup, grow, streamline and maximize their trade potential. Whether a business is just starting its global trade journey or is an established exporter, we have a solution to offer. TreQ is solving core global trade problems faced by businesses across sizes and geographies through its uniquely crafted service models by leveraging technology and bringing its global trade domain prowess to them.

Jobs at TreQ

Data Engineer (ETL Development)

at TreQ

Posted by Nidhi Tiwari

The recruiter has not been active on this job recently. You may apply but please expect a delayed response.

Mumbai

2 - 5 yrs

₹7L - ₹12L / yr

ETL

Informatica

Data Warehouse (DWH)

Amazon Web Services (AWS)

PostgreSQL

+1 more

Responsibilities :

Involve in planning, design, development and maintenance of large-scale data repositories, pipelines, analytical solutions and knowledge management strategy
Build and maintain optimal data pipeline architecture to ensure scalability, connect operational systems data for analytics and business intelligence (BI) systems
Build data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader
Reporting and obtaining insights from large data chunks on import/export and communicating relevant pointers for helping in decision-making
Preparation, analysis, and presentation of reports to the management for further developmental activities
Anticipate, identify and solve issues concerning data management to improve data quality

Requirements :

Ability to build and maintain ETL pipelines
Technical Business Analysis experience and hands-on experience developing functional spec
Good understanding of Data Engineering principles including data modeling methodologies
Sound understanding of PostgreSQL
Strong analytical and interpersonal skills as well as reporting capabilities

Responsibilities :

Involve in planning, design, development and maintenance of large-scale data repositories, pipelines, analytical solutions and knowledge management strategy
Build and maintain optimal data pipeline architecture to ensure scalability, connect operational systems data for analytics and business intelligence (BI) systems
Build data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader
Reporting and obtaining insights from large data chunks on import/export and communicating relevant pointers for helping in decision-making
Preparation, analysis, and presentation of reports to the management for further developmental activities
Anticipate, identify and solve issues concerning data management to improve data quality

Requirements :

Ability to build and maintain ETL pipelines
Technical Business Analysis experience and hands-on experience developing functional spec
Good understanding of Data Engineering principles including data modeling methodologies
Sound understanding of PostgreSQL
Strong analytical and interpersonal skills as well as reporting capabilities

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Data Engineer (ETL Development)

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