Vacancy expired!
- We are seeking a highly motivated, forward thinking Business Intelligence (BI) professional to support the enterprise CLIENT Decision Analytics Group and develop custom CLIENT BI solutions used across 50+ facilities within multiple divisions.
- The Decision Analytics Group functions as a Center of Excellence for all things data related for all of Client.
- This group creates sustainable value and competitive advantage by leveraging analytics, information, technology, and actionable insights across the enterprise while focusing on futuristic possibilities of analytics.
- This role will have the opportunity to leverage the latest BI and Analytics technologies and partner with our financial community to expand our cost modeling and decision making capabilities.
- Hands on lead for data consolidation and syndication (from various source systems including machine and sensor data in batch, near real-time, and real-time).
- Develop in data quality processes and standard and build security of data assets.
- Participate in collaborative software design and development of the new Enterprise Data Lake on cloud technologies including tools like RedShift, S3, Lambda, Glue and other AWS services.
- Manage own learning and contribute to technical skill building of the team.
- Embrace the engineering mindset and systems thinking. Collaborate with IT Architect to design forward looking data solutions.
- Develop deep technical expertise in the data movement patterns, practices and tools.
- Lead and participate in experiments involved with building out an Enterprise Data Lake.
- Support various business users in their need for existing and new data elements and subject areas.
- Demonstrate technical, team, and solution leadership through strong communication skills to recommend actionable, data-driven solutions
- Collaborate with team members, business stakeholders and data SMEs to elicit requirements and to develop a technical design and then implement a data lake.
- Bachelor’s degree in Engineering (preferably Analytics, MIS or Computer Science). Masters degrees preferred.
- Minimum 7 years of Data Analytics and Data Lake ETL Experience using tools like Talend, Hadoop PIG and Scala scripting, AWS technologies, Microsoft BI stack (SQL, SSIS, SSAS and Multi-dimensional).
- Data Concepts (ETL, near-/real-time streaming, data structures, metadata and workflow management)
- Big Data (Hadoop/EMR, Hive, Map-Reduce, Kinesis/Oozie, Sqoop, Spark)
- Programming / Scripting (Python, Java, C/C, Scala, Bash, Korn Shell)