Senior Engineer - Data engineer

Key Skills

Azure, Data Analytics, Data Architecture, Data Catalog, Data Engineering, Data Lake, Data science techniques, Databricks, Leadership Skill, Machine learning techniques, Python Programming, R Programming, Scala Programming, Teamwork

Job Description

What can you expect?

• Drive innovation within BIA 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 of highly complex and critical data projects

• Leverage research and previous experience to ensure we’re up-to-date and continuously exploring new technologies

• We are passionate about trying new things and follow through with 10% time and Tech hack-a-thons

• Excellent professional development and career growth opportunities

What is in it for you?

• Standard MMC Salary Package

• Standard MMC Colleague Benefits

• Work in a diverse culture and global team

• Grow in culture focused on training and mentoring

We will count on you to:

• Responsible for managing a growing cloud-based data ecosystem and reliability of our Corporate data lake and analytics data mart

• Contribute to the continued evolution of Corporate Analytics Platform (CAP) and Integrated data model.

• Identify gaps and weaknesses in our data stack and continue to guide learning advancements for the team

• Provide technical expertise and leadership to Data Architecture team in all phases of work including analysis, design and architecture to develop and implement cutting-edge solutions.

• Negotiate and influence changes outside of the team that continuously shape and improve the data strategy

What you need to have:

• 7 years of experience implementing analytics data solutions by working with and leveraging Microsoft Azure resources such as Azure Data Lake Storage, Azure Data Factory, Synapse , Databricks, Logic Apps, and ML Studio

• 7 years of experience in data warehousing with expert knowledge of dimensional modeling concepts and performance tuning
• The ability to evaluate existing data models and physical databases for variances, discrepancies, and redundancies
• The ability to independently perform data profiling and analysis to understand source data
• An understanding of the role of data security and privacy compliance and related best practices in their implementation
• 4 years of experience using Erwin Data Modeler R9.7 or later
• Experience with data lineage and data cataloging tools such as Informatica EDC and Alation Data Catalog

Experience with data virtualization platforms such as Dremio or Denodo

• Working knowledge and experience with Python, Scala, or R

• Bachelor’s Degree or equivalent experience in Computer Science, Information Systems, or related disciplines.

What makes you stand out?

• Excellent communication and presentation skills

• Domain knowledge in one or more corporate functions such as HR, Finance, Real Estate is preferred

• Excellent problem solving skills with innovative thinking and proactive approach

• Ability to recommend and implement best practices and processes