As a skilled professional seeking career growth, you deserve access to the best job opportunities available. Join Outdefine's Trusted community today and apply to premier job openings with leading enterprises globally. Set your own rate, keep all your pay, and enjoy the benefits of a fee-free experience.
Outdefine is a web3 talent community that connects top talent with leading-edge companies and enterprises globally. Companies choose to hire Outdefine Trusted Members because their skills and readiness have been proven. When you accept a job as a Trusted Member, you keep all of your pay. Traditional hiring networks and agencies charge membership fees and take up to 50% of the talent’s earnings. Through Outdefine, talent can connect with and apply directly to top companies, removing the need for these middlemen. Additionally, Trusted Members get lifetime access to premier jobs, networking, and a global community powered by tokens. You can earn Outdefine tokens by working, contributing to the community, and referring friends. The world’s biggest retailer with over sixty years in the market, committed to helping their customers save money so they can live better. Today, they’re reinventing the shopping experience and their associates are at the heart of it. As a Data Engineer, you’ll play a crucial role in shaping the future of retail, improving millions of lives around the world. This is that place where your passions meet purpose. 9+ months contract to hire. Hybrid in any of the locations mentioned above.
Technical areas of expertise - 6 -8 years of Big Data development experience - 2 -3 Years of Experience in GCP/Azure cloud platforms - 2 -3 years of experience building streaming pipelines using spark streaming or similar. Must haves -Bachelor’s degree in Computer Science, Information Technology, or a related field. -Exposure to Data Governance (Data Quality, Metadata Management, Security, etc.) -Experience with Java, Scala, and/or Python to write data pipelines and data processing layers. Nice to have - Demonstrates expertise in writing complex, highly optimized queries across large datasets. - Proven working expertise with Big Data Technologies Spark Scala/PySpark, and SQL - Knowledge and experience in Kafka, Storm, Druid, and Presto. - Demonstrates up-to-date expertise in Data Engineering, and complex data pipeline development. - Architect, Design, develop, implement, and tune distributed data processing pipelines that process large volumes of data; focusing on scalability, low -latency, and fault tolerance in every system built.
Designs, develops, and implements Hadoop eco-system-based applications to support business requirements. Follows approved life cycle methodologies, creates design documents, and performs program coding and testing. Resolves technical issues through debugging, research, and investigation.
The Hiring Process
In order to apply for this position, first complete your profile on www.app.outdefine.com.
We want to learn more about you, so we encourage you to provide us with a brief summary of yourself and your past experience as part of the process. As soon as this is completed, you'll take a technical assessment based on your skill set, and if you pass, you'll earn 500 Outdefine tokens. We will review your application, and if you are qualified, we will invite you to a 1:1 video interview.
Already a Trusted Member of Outdefine? Then go ahead and apply directly for the job of your dreams.
Equal Employment Opportunity
We are an equal-opportunity employer and do not discriminate against any employee or applicant for employment on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected status. We are committed to creating a diverse and inclusive environment for all employees and applicants for employment. All qualified individuals are encouraged to apply and will be considered for employment without regard to any legally protected status.
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Earn 500 Outdefine tokens for becoming trusted member and completing your assessment.
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