Senior Data Engineer

POSITION SUMMARY: 

The Data Engineer III is a hands-on technical role focused on full stack software development within the Enterprise Data organization.  The role will pay curtail part in shaping future big data and analytics initiatives. 

PRINCIPAL RESPONSIBILITIES: 

• Designs and develops code and data pipelines to ingest from relational databases (Oracle, SQL Server, DB2, Aurora), file shares, and web services.
• Streaming ingestion with Kinesis Streams, Kinesis Firehose, Kinesis Analytics and Kafka(MSK)
• Build Data Lake on AWS S3 with optimal performance considerations by partitioning and compressing data.
• Data Engineering and Analytics using AWS Glue, Informatica, EMR, Spark, Athena, Python.
• Data modeling and building Data Warehouse using Snowflake.
• Designs and develops code and data pipelines to ingest relational databases, file shares, and web services.
• Designs JavaScript modules and REST APIs utilizing MarkLogic to support complex searches. 
• Develops MarkLogic integrations with existing enterprise platforms.
• Participates in requirements definition, system architecture design, and data architecture design.
• Participates in all aspects of the software life cycle using Agile development methodologies.

QUALIFICATIONS: 

• 7+ years of experience in Enterprise Information Solution Architecture, Design, and development required.
• 7+ years of experience with integration architectures such as SOA, Microservices, ETL or other integration technologies.
• 7+ years of experience with working content or knowledge management systems, search engines, relational databases, NoSQL databases, ETL tools, geospatial systems, or semantic technology.
• 5+ years of hands-on experience with a MarkLogic framework , DynamoDB preferred.
• 5+ years of hands-on experience with AWS services ( S3, Kinesis, Lambda, Athena, Glue, EMR) required.
• 5+ years of analytics tools like SAS, R, Python, and other advanced statistical software.
• 5+ years of Web development experience with Angular, JavaScript, and Node.js. 
• Experience with JSON or XML data modeling required.
• Experience with Git/GitHub, branching, and other modern source code management methodologies required.
• Domain knowledge of NoSQL or relational database required.
• Understanding of database architecture and performance implications required.
• Experience integrating Business Intelligence applications like Qlik Sense, Tableau, or PowerBI.
• Experience with Machine Learning and Artificial Intelligence.
• Ability to multi-task effectively.
• Ability to work collaboratively as part of an Agile Team.
• Extensive knowledge and experience with Python, JavaScript and Java.
• Excellent written and verbal communication skills, sense of ownership, urgency and drive.

MINIMUM QUALITIFICATIONS: 

• Bachelor’s degree in Computer Science, Computer Information Systems, Engineering, Statistics or closely related field (willing to accept foreign education equivalent) (required).
• Experience in AWS services for data and analytics (required).
• 5 years of experience in Data Ingestion, Data Extraction, and Data Integration (required).

The statements used herein are intended to describe the general nature and level of the work being performed by an employee in this position and are not intended to be construed as an exhaustive list of responsibilities, duties and skills required by an incumbent so classified.  Furthermore, they do not establish a contract for employment and are subject to change at the discretion of the Company.

Rewarding Compensation and Benefits

Eligible employees can elect to participate in:
• Comprehensive medical benefits coverage, dental plans and vision coverage.
• Health care and dependent care spending accounts. 
• Short- and long-term disability.
• Life insurance and accidental death & dismemberment insurance.
• Employee and Family Assistance Program (EAP).
• Employee discount programs.
• Retirement plan with a generous company match.
• Employee Stock Purchase Plan (ESPP).

The statements used herein are intended to describe the general nature and level of the work being per