Senior Data Warehouse Engineer

6 days ago

Pune, India XENNEO Full time

Senior Data Warehouse Engineer JD


Required Skills :

  • Experience working with OLTP databases and data warehouses (Snowflake, Redshift).
  • Knowledge of Data warehouse Design Methodologies.
  • 3 to 6 years experience in Python programming and application development using Python.
  • Ability to create and manage Pipelines using Python.
  • Hands-on experience with database design.
  • Experience working on Cloud Platforms (e.g. AWS, Azure, GCP).
  • Experience working on CI/CD processes and source control tools such as GitHub and GitLab
  • Experience with Agile/Scrum methodology and iterative practices in a service delivery lifecycle.
  • Excellent communication and interpersonal skills with a demonstrated ability to influence a large organization.
  • Bachelor's or Masters's Degree in Computer Science, Information Systems, or related field.


Duties & Responsibilities:

  • Responsible for developing and supporting data pipelines that enable the overall

the strategy of expanded data programs, services, process optimization, and advanced business intelligence.

  • Design and develop scalable data warehousing solutions, building ETL pipelines in Big Data environments (cloud, on-prem, hybrid)
  • Leading data discovery sessions with business teams, comprising product owners, data analysts and crossteam technologists to understand enterprise data requirements of analytics projects.
  • Ensure proper testing and monitoring are in place to provide trusted and reliable data Partner with business domain experts, system analysts, data/application architects, and engineering teams to ensure data design is aligned with business strategy and direction.
  • Exercise best practices in software development and documentation.
  • Participating in a shared oncall rotation monitoring the health of the team's systems

Bonus Points:

  • Experience working with orchestration tools (AirFlow Preferred), file storage systems(AWS S3, Google Cloud Storage), partitioning, and real-time processing of data.
  • Experience working with reporting tools such as Tableau
  • Experience with event streaming with modern event streaming toolings like Kafka or

Kinesis.

  • Experience with subscription service products.
  • Knowledge of accounting, FP&A, and marketing functions.

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