Senior Data Engineer

5 years

0 Lacs

Posted:20 hours ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Full Time

Job Description

Shuru is a self-managed technology team specializing in accelerating visions through product, technology, and AI leadership. With a focus on bespoke execution, we deliver impactful solutions that are scalable and designed for success. At Shuru, we deliver mobile solutions that meet and exceed customer expectations. Our collaborative and fast-paced environment encourages creativity and innovation.


Our Data Platform team is hiring a Senior Data Engineer to build and maintain scalable pipelines, shape our data architecture on Azure Databricks, and mentor other engineers.


Responsibilities:

  • Design, build, and maintain efficient and scalable data pipelines that collect, transform, and load data.
  • Develop the Logical Data Model and Physical Data Models including data warehouse designs
  • Monitoring and Maintenance: Implement monitoring and alerting systems to ensure data pipeline reliability, and perform routine maintenance tasks.
  • Work with upstream and downstream teams to ensure end-to-end execution of the data pipelines
  • Optimize data processing and storage solutions for efficiency and scalability, working with large volumes of data.
Requirements


  • Should have 5 years of experience working on ETL pipelines.
  • Strong programming skills in Python for data manipulation and transformation.
  • Should have in-depth knowledge of a NoSQL OR relational database. And should be able to model data on them.
  • Should have Experience with workflow management tools like Apache Airflow.
  • Should help the team with all phases of development, including design, implementation, and operation of production systems.
  • Should know what good code looks like and be able to write the same. Should have a solid understanding of Object-Oriented design and concepts.
  • Should be able to deal well with ambiguous/undefined problems.
  • Understanding of data security and privacy principles.

Good to Have:

  • Proficiency in AWS services such as AWS Glue, AWS EMR, AWS Redshift, AWS S3, AWS Athena, and AWS Lambda.
  • Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes)
  • Prior experience in Mentoring/leading a small team is a plus.
Benefits

Benefits:

  • Competitive salary and benefits package.
  • Opportunity to work with a team of experienced product and tech leaders.
  • A flexible work environment with remote working options.
  • Continuous learning and development opportunities.
  • Chance to make a significant impact on diverse and innovative projects


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