Baxter Planning
Data Engineer ( India )
Remote - Full Time
Responsibilities:
- 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.
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Job Requirements:
- Strong understanding of AWS services and AWS Glue, Athena and Lambda Functions
- Minimum of 5 years of relevant experience in data engineering.
- Knowledge in ETL concepts within modern data applications.
- Good SQL skills, with a focus on PostgreSQL and query optimization.
- Proficiency in Python programming.
- Familiarity with MongoDB is a plus.
- Familiarity with agile development practices.
- Demonstrated ability in analysis and design of data systems.
--------------------------------------------------------------------------------------------------------
Desired Qualifications:
- Bachelor of Science degree in a technical major (Computer Science, Engineering,
Mathematics) or equivalent industry experience.
- Knowledge or experience with microservices and messaging systems.
- Experience with supply chain management is a plus
- 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.
--------------------------------------------------------------------------------------------------------
Job Requirements:
- Strong understanding of AWS services and AWS Glue, Athena and Lambda Functions
- Minimum of 5 years of relevant experience in data engineering.
- Knowledge in ETL concepts within modern data applications.
- Good SQL skills, with a focus on PostgreSQL and query optimization.
- Proficiency in Python programming.
- Familiarity with MongoDB is a plus.
- Familiarity with agile development practices.
- Demonstrated ability in analysis and design of data systems.
--------------------------------------------------------------------------------------------------------
Desired Qualifications:
- Bachelor of Science degree in a technical major (Computer Science, Engineering,
Mathematics) or equivalent industry experience.
- Knowledge or experience with microservices and messaging systems.
- Experience with supply chain management is a plus
