Staff Engineer Data Analytics

Republic Services is a leader in Environmental Services, partnering with customers to create a more sustainable world.

We are Sustainability in Action - our promise to be environmentally responsible and to help our customers be environmentally responsible too.

Why choose Republic?

Joining Republic isn't just about taking on a new job, it's about making a commitment to create a more sustainable world together. Our people provide an essential service, serving and impacting customers, neighborhoods, and communities everywhere.

As a company, we are proud of our values and encourage those who share in our aspirations to join our team:

• We protect our colleagues and communities through safe practices everywhere, every day.
• We are committed to serving our customers and communities by going above and beyond to exceed expectations.
• We take action to improve neighborhoods and communities by being environmentally responsible and creating a more sustainable world.
• We are driven to deliver results in the right way.
• We encourage a human centered culture that honors the unique potential and dignity of every person.

POSITION SUMMARY: Staff Engineer - Data & Analytics will play a pivotal role in building and operationalizing the enterprise data and analytics initiatives following industry standard practices and tools. Responsible for building, managing and optimizing data pipelines and automating production deployments. Perform technical leadership role working closely with business and IT partners to solve business problems using data engineering and analytics.

PRINCIPAL RESPONSIBILITIES:

• Design and develops code and data pipelines to ingest from relational databases (Oracle, SQL Server, DB2, Aurora), file shares, and web services.
• Stream 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.
• Perform data engineering and analytics using AWS Glue, Informatica, EMR, Spark, Athena, Python, PowerBI and Sagemaker.
• Perform data modeling and building Data Warehouse using Snowflake.
• Participate in requirements definition, system architecture design, and data architecture design.
• Participate in all aspects of the software life cycle using Agile development methodologies.

MINIMUM QUALIFICATIONS:

• Bachelor's degree (or foreign equivalent) in Computer Science, Computer Information Systems, Engineering, Statistics or closely related field
• 8 years of experience in Enterprise Information Solution Architecture, Design, and development
• 8 years of hands-on experience with AWS services ( S3, Kinesis, Lambda, Athena, Glue, EMR)
• 5 years of experience in AWS services for data and analytics
• 3 years of data visualization, and machine learning / data science

The role may presently be performed remotely in the state of Arizona, but this is subject to change. Apply online at www.republicservices.jobs or submit resume to Republic Services, S. Bogan, 18500 N Allied Way, Phoenix, AZ 85054. Ref: EG-CI1A-23.

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.• 401(k) 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 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.

Republic Services is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, protected veteran status, relationship or association with a protected veteran (spouses or other family members), genetic information, or any other characteristic protected by applicable law.