Senior Backend Data Engineer

1 week ago


Navi Mumbai, Maharashtra, India Looper Development Services Private Limited Full time

Job Description :

  • Bachelor's or advanced degree in Computer Science, Information Technology, or related field.
  • Proven experience as a Back-End Data Engineer or similar role.
  • Proficiency in database design and management (e.g., SQL, NoSQL).
  • Strong programming skills in languages such as Python, Java, or Scala.
  • Experience with ETL tools and data integration processes.
  • Knowledge of cloud platforms (e.g., AWS, Azure, GCP) and their data services.
  • Familiarity with big data technologies (e.g., Hadoop, Spark) is a plus.
  • Excellent problemsolving and analytical skills.
  • Strong communication and collaboration skills.
Position Overview :


As a Back-End Data Engineer, you will play a crucial role in designing, implementing, and maintaining the back- end infrastructure that supports our data ecosystem.

You will work closely with cross-functional teams, including data scientists, analysts, and software engineers, to ensure efficient data processing, storage, and retrieval.

The ideal candidate is not only technically proficient but also possesses a deep understanding of data modeling, database architecture, and data :

Database Design and Maintenance :

  • Design and implement scalable, highperformance database schemas and structures.
  • Optimize and maintain existing database systems for efficiency and reliability.

Data Pipeline Development :

  • Develop and maintain robust ETL (Extract, Transform, Load) processes for efficient data movement and transformation.
  • Collaborate with data scientists and analysts to understand data requirements and implement solutions accordingly.

Back-End Infrastructure :

  • Build and manage the backend infrastructure that supports data storage, retrieval, and processing.
  • Ensure the security, integrity, and availability of data at all times.

Collaboration :

  • Work closely with crossfunctional teams to understand data needs and contribute to the development of datadriven solutions.
  • Collaborate with frontend developers to integrate back end data systems with user interfaces.

Performance Optimization :

  • Identify and resolve performance bottlenecks in data processing and storage.
  • Continuously monitor system performance and implement improvements as needed.

Documentation :

  • Create and maintain comprehensive documentation for database schemas, ETL processes, and system architecture.
  • Provide training and support to other team members on datarelated technologies and best practices. )

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