[Hiring] Data Engineer III @Republic Services

Role Description

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

• 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.

Requirements

• 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).

Benefits

• 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).
• Paid Time Off (PTO).