Data Engineer

Job Description

Position: Data Engineer

Job Location : United States : North Carolina : Cary

Role Value Proposition:

Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in a full-stack development tools and technologies. Create and maintain optimal data pipeline architecture. Assemble large, complex data sets that meet functional and non-functional business requirements. Automate manual processes, optimize data delivery, and redesign infrastructure for greater scalability to identify, design, and implement internal process improvements. Build the infrastructure required for optimal extraction, transformation, and loading (ETL) of data from a wide variety of data sources using SQL and Azure big data technologies. Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics. Work with data and analytics experts for greater functionality in data systems. Design and implement efficient reusable ETL processing components using cutting-edge technologies and write robust tests for quality control. Build flexible application program interface (API) in iterations with end users, optimize data IO and load balancing for grid computation, develop and maintain pipelines responsible to ingest large amounts of data from a wide range sources to SparcBeyond AI platform, and optimize the feature engineering for prediction models.

Essential Business Experience and Technical Skills:

Bachelor's degree in computer science, software engineering, or biotechnology (willing to accept foreign education equivalent) plus eight (8) years of experience building big data pipelines, architectures and data sets, including two (2) years of experience planning, designing and supervising construction of big data pipelines, architectures and/or data sets. Specific skills/other requirements: performing root cause analysis on internal and external data to identify opportunities for improvement using big data frameworks and tools, including Hadoop, HBase, Hive and Pig (4 years); manipulating, processing and extracting value from large disconnected datasets, applying knowledge of Azure Data Factory and Azure Data Lake Analytics (1 year); performing ETL coding and feature engineering for data science projects using Python and Apache Spark (3 years); delivering big data solutions using open-source languages, including Python and Scala on Apache Spark framework to support cross-functional teams (3 years); leveraging visualization tools, including Apache Zeppelin and Power BI, to analyze datasets (1 year); designing optimal ETL data processing architecture for analytical record datasets to create predictive models and/or real-time scoring functions (1 year); and integrating and testing the source code using continuous integration and deployment tools, including Bamboo, Jira, or Bitbucket (1 year). Eligible for employee referral program.

Requisition #:

115434

Business Category

Global Technology & Operations

Number of Openings

1

Contact Information

Submit resume to Ashley Lonsinger [email protected]

Hiring Manager

Charlie Wright

“At MetLife, we’re leading the global transformation of an industry we’ve long defined. United in purpose, diverse in perspective, we’re dedicated to making a difference in the lives of our customers.”

#LI-DNI

MetLife:

MetLife, through its subsidiaries and affiliates, is one of the world’s leading financial services companies, providing insurance, annuities, employee benefits and asset management to help its individual and institutional customers navigate their changing world. Founded in 1868, MetLife has operations in more than 40 countries and holds leading market positions in the United States, Japan, Latin America, Asia, Europe and the Middle East.

We are one of the largest institutional investors in the U.S. with $600 billion of total assets under management as of December 31, 2019. We are ranked #44 on the Fortune 500 list for 2019. In 2019, we were named to the Dow Jones Sustainability Index (DJSI) for the fourth year in a row. DJSI is a global index to track the leading sustainability-driven companies.

MetLife is committed to building a purpose-driven and inclusive culture that energizes our people. Our employees work every day to help build a more confident future for people around the world.

We want to make it simple for all interested and qualified candidates to apply for employment opportunities with MetLife. For further information about how to request a reasonable accommodation, please click on the Disability Accommodations link below.

MetLife is a proud Equal Employment Opportunity and Affirmative Action employer dedicated to attracting, retaining, and developing a diverse and inclusive workforce. All qualified applicants will receive consideration for employment at MetLife without regards to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, national origin, marital or domestic/civil partnership status, genetic information, citizenship status, uniformed service member or veteran status, or any other characteristic protected by law.

MetLife maintains a drug-free workplace.

Requisition #: 115434