Über
Support DW related to Finance
Taking chunks moving to clouds.
Integrating use cases into a single place even though from different stack (dev reporting reqs in PowerBI, Tableau but move to 1 spot)
Create and maintain highly scalable data pipelines across Azure Data Lake Storage, and Azure Synapse using Data Factory, Databricks and Apache Spark/Scala
Experience with Scala, Python, or R
Responsible for managing a growing cloud-based data ecosystem and reliability of our corporate data lake and analytics data mart
JOB DESCRIPTION: The Senior Data Engineer is part of a Corporate Analytics team responsible for supporting data and analytics solutions for MMC Corporate Functions. This individual will collaborate with analytics team to design and implement MMC corporate data strategy, ensuring reliable data infrastructure and creating data solutions for variety of business use cases. RESPONSIBILITIES:
Drive innovation within Data Engineering by playing a key role in technology decisions for the future of our data science and analytics Critical team member in the design and development for highly complex and critical data projects Leverage research and previous experience to ensure we're up-to-date and continuously exploring We are passionate about trying new things and we follow through with 10% time and Tech hack-a-thons Excellent Professional development and Career growth opportunities WHAT CAN YOU EXPECT:
Drive innovation within Data Engineering by playing a key role in technology decisions for the future of our data science and analytics Critical team member in the design and development for highly complex and critical data projects Leverage research and previous experience to ensure we're up-to-date and continuously exploring We are passionate about trying new things and we follow through with 10% time and Tech hack-a-thons Excellent Professional development and Career growth opportunities QUALIFICATIONS:
7+ years of experience in tier 1 or 2 IT services companies or Tier 1 captives 7 years of experience implementing analytics data Solutions leveraging Azure Data Factory, Databricks, Logic Apps, ML Studio, Data Lake, Synapse, Informatica Power Center, and Oracle. Working experience with Scala, Python, or R Bachelor's degree or equivalent experience in Computer Science, Information Systems, or related disciplines. Excellent communication and presentation skills Domain knowledge in one of more of corporate functions such as HR, Finance, Real Estate is preferred Excellent Problem-solving skills with innovative and proactive approach Ability to recommend and implement best practices and processes
Sprachkenntnisse
- English
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