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Senior Data Engineer

7 years

0 Lacs

Posted:15 hours ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

Senior Data Engineer

You will have the following responsibilities:

Design

ï‚· Analyse relevant internally and externally sourced data (raw data) to generate BI and Advanced

Analytics datasets based on your stakeholders’ requirements

ï‚· Design data pipelines to curate sourced data into the inhouse data warehouse

ï‚· Design data marts to facilitate dataset consumption out of the inhouse data warehouse by businessand IT internal stakeholders

ï‚· Design data model changes that align with the inhouse data warehouse standards

ï‚· Define migration execution activities to move data from existing database solutions to the inhousedata warehouse Engineer

ï‚· Regular housekeeping of raw data and data stored in the inhouse data warehouse

ï‚· Build and maintenance of data pipelines and data platforms

ï‚· Build data solution prototypes

ï‚· Explore ways to enhance data quality and reliability

ï‚· Identify and realize opportunities to acquire better data (raw data)

ï‚· Develop analytical tooling to better support BI and Advanced Data Analytics activities

ï‚· Execute data migration from existing databases to the inhouse data warehouse

ï‚· Promote and champion data engineering standards and best-in-class methodology.


You will have the following qualifications:


 Bachelor’s or master’s degree in Computer Science, Information Technology, Engineering or relatedquantitative discipline from a top tier university.

ï‚· Certified in AWS Data Engineer Specialty or AWS Solution Architect Associate

ï‚· Snowflake SnowPro Core Certification

ï‚· 7+ years of experience in data engineering or relevant working experience in a similar role, preferablyin the financial industry

ï‚· Strong understanding or practical experience of at least one common Enterprise Agile Framework e.g.,Kanban, SAFe, SCRUM, etc.

ï‚· Strong understanding of ETL, data warehouse and BI(Qlik) and Advanced Data Analytics concepts

 Deep knowledge of cloud-enabled technologies – AWS RDS and AWS Fargate, etc.

ï‚· Experience with databases and data warehouses - Snowflake, PostgreSQL, MS SQL

ï‚· Strong programming skills with advanced knowledge of Java and/or Python

ï‚· Practical experience with ETL tools such as AWS Glue, etc.

ï‚· Strong critical-thinking, analytical and problem-solving skills

ï‚· Excellent communicator with team-oriented approach




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Straive
Straive

IT Services and IT Consulting

Columbia

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