Senior Data Engineer

Senior Data Engineer

1 Nos.
73378
Full Time
3.0 Year(s) To 10.0 Year(s)
0.00 LPA TO 30.00 LPA
IT Software - Client Server
IT-Software/Software Services
Job Description:

Position : Senior Data Engineer

Location : Remote

Experience :  4 to 8 years

Notice Period : Immediate to 15 days

Required Skills - AWS Data services, Redshift, Lambda, Glue, S3, Athena, Kinesis, ETL,   SQL, No SQL, Python/scala/java, Agile, CICD.

 

 

Job Description:

 

  The Senior Data Engineer is responsible for  data processing in the company Data Cloud . The candidate will demonstrate a successful track record of thought leadership and management skills coupled with deep experience engineering and managing cloud-based data platforms. The ideal candidate will be distinguished not only by their experience working in a cloud-based, multi-tenant environment, but also by high levels of creativity, passion and thought leadership.  

 

 

 

Responsibilities:

 

  • Lead the company Data Cloud development effort focusing on scalability, quality and performance.
  • Perform code reviews.
  • Ensure adherence to Scholastic’s enterprise best practices.
  • Design efficient, scalable processes to acquire, manipulate and project data.
  • Participate actively in all facets of the Agile process.
  • Contribute to the SDC codebase directly by taking on development tasks.

      

 

Requirements:

 

  • Bachelor’s degree in computer science, Math, Statistics or other quantitative disciplines

 

  • 5+ years’ experience implementing enterprise data solutions.

 

  • Extensive experience with AWS data services: Redshift, RDS, DynamoDB, Data Pipeline, EMR, Athena, Spectrum, GLUE, Lambda, Airflow

 

  • Extensive experience writing and tuning SQL queries.

 

  • 5+ years using ETL / data movement tools (dbt, talend, Pentaho, Glue, SSIS, Sqoop, Matillion, Informatica).

 

  • 3+ years programming in one or more languages (Python, Java, Scala, C/C++)

 

  • 2+ years’ experience with NoSQL data platforms.

 

  • Experience implementing a data lake architecture in AWS mainly for S3, and Lambda implementation.

 

  • Experience with Agile process methodology, CI/CD automation, Test Driven Development.

 

  • Experience with AWS Kinesis, Kafka, Storm, Spark, SonarQube highly desired Certifications.

 

 

Company Profile

We are a specialized IT services company with re-usable technology assets in the DevOps, Cloud, Automation, Digital, Service Delivery and Agile Analytics domains. It helps global organizations achieve frictionless business by transforming their Infrastructure, Applications and Data to provide business scale, operational efficiency and deliver superior customer experience.

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  • Recruiters will evaluate your candidature and will get in touch with you.

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