Data Engineer responsible for developing research analytic data infrastructure at Sutter Health. Involves managing data quality, pipelines, and compliance with healthcare regulations.
About the role
- T&T Consultant driving the growth of AI & Data solutions at Deloitte Southeast Asia. Leading client transformations through data, analytics, and intelligent automation.
Responsibilities
- Drive the growth of our IA business in the region and be responsible for the creation, sale and delivery of IA solutions: robotic process automation, intelligent character recognition, chatbots/virtual assistants and artificial intelligence.
- Help clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets.
- Apply emerging technologies to help our clients maximize the value of their data by generating actionable insights that provide real business outcomes.
- Designing and implementing data structures to support Big Data, Analytical models and traditional BI/DW reporting solutions using technologies such as Microsoft SQL, Oracle, SAP, Cloudera, IBM Watsons, MuleSoft, Qlik Technologies or Informatica.
- Designing and developing data integration using Data Governance, Data Quality, MDM and Metadata management.
- Applying analytical models to predict business outcomes with tools such as DataRobot and languages like Python or R.
- Be part of a collaborative team that provides our clients with solutions that are practical as well as visionary and have an impact from the back office to the boardroom.
Requirements
- A good honors Degree, preferably at postgraduate level, in Computer Science, Software Engineering, Statistics, Mathematics or related disciplines.
- Experience in Big 4 or MNC Consulting firm or industry equivalent role.
- Minimum 2 years (Analyst) or 4 years (Consultant) of relevant experience.
- Strong experience in one or more of the following programming languages: Scala, Python, or R.
- Experience with one or more non-relational data stores such as Pivotal, Cloudera, Hortonworks, MapR, Oracle BDA.
- Experience with one or more relational data stores using SQL, Oracle DB, Microsoft SQL Server, IBM Netezza, Teradata or MySQL.
- Experience building data ingestion and transformation pipelines using Big Data technologies, including one or more of the following: Spark, Hive, Pig, Kafka, MapReduce, HBase, Sqoop, Flume or Storm.
- Experience in cloud Data Engineering
- Experience working with Agile software engineering tools and applying Agile methodologies in a pragmatic manner.
- Experience working with Source Control Management tools such as Git, Subversion or Mercurial.
- General knowledge of Linux/Unix based operating systems and Shell scripting.
- Experience directly interfacing with business and IT stakeholders for clients.
- Excellent problem solving skills, ability to think out-of-the-box, work under pressure and tight project timelines.
- Drive, tenacity, client focused and results oriented.
- Excellent communication and presentation skills in English.
- An appreciation of the consulting lifestyle and ability to travel.
Benefits
- Positive work experiences
- Culture of respect and inclusion
- Celebrating diverse perspectives
Job title
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Degree requirement
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