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Data Engineer – Remote

No of Positions  No of Positions:   1

location Location: Pune

date Tentative Start Date:   January 28, 2024

Work From Work From : Any Location

rate Rate : $ 9  -  11 (Hourly)

experience Experience : 5 to 6 Year

Job Applicants : 6
Job Views : 284
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Job Category : Information Technology & Services
Duration : 3-6  Month
Key Skills Required Skills
Data engineer AWS Python SQL ETL
Description

Dear Candidates,

We are having opening for Data Engineer – Remote

 

Position

Data Engineer

Qualification

Graduate /Post graduate

Number of post

1

Location

Remote

Gender

Male/ Female

Industry

IT

Previous Work Experience

5 yrs

Budget / Contract

Open / Contract

Responsibility

 Design, implement, and optimize data systems to support our data mesh infrastructure.

- Utilize AWS Glue for data extraction, transformation, and loading (ETL) processes.

- Refactor and improve existing data systems for enhanced efficiency and performance.

- Collaborate closely with product development and production support teams to meet their data engineering requirements.

- Participate actively in peer code reviews to maintain code quality and consistency.

- Diagnose and resolve production issues, offering corrective measures and workarounds when necessary.

- Continuously assess key performance indicators (KPIs) and identify opportunities for improvements and optimizations within our data mesh.

 

 

Desired Qualifications:

- Experience in building data systems with real-time data streams (e.g., Kafka, Kinesis).

- Bachelor of Science degree in a technical major (Computer Science, Engineering, Mathematics) or equivalent industry experience.

- Familiarity with other ETL tools (Pentaho, Informatica, SSIS, etc.).

- Knowledge or experience with microservices and messaging systems.

- Experience with supply chain management is a plus.

 

 

 

Required Skills-

 

  Strong understanding of AWS services and AWS Glue, Athena and Lambda Functions

- Minimum of 5 years of relevant experience in data engineering.

- Strong understanding of complex data architecture, especially for data lake environments.

- Proficiency in ETL concepts within modern data applications.

- Excellent SQL skills, with a focus on PostgreSQL and query opt

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