Experienced Full Stack Data Engineer – Cloud and Big Data Application Development at careerzynith

Remote Full-time
About careerzynith
careerzynith is a leading entertainment and media conglomerate that has been a household name for generations. With a rich history of innovation and creativity, careerzynith has established itself as a pioneer in the industry, pushing the boundaries of what is possible in entertainment, media, and technology. Our commitment to excellence and our passion for storytelling have made us a beloved brand around the world.

About the Role
careerzynith is seeking an experienced Full Stack Data Engineer to join our team of talented professionals in San Francisco, USA. As a key member of our Information and Investigation group for Disney Web-based features (DSS), you will play a critical role in designing and developing cutting-edge data solutions that drive business growth and innovation. If you are a motivated and talented data engineer with a passion for big data and cloud computing, we want to hear from you!

Job Details

Hiring Organization: careerzynith
Post Name: Lead Data Engineer
Industry: Private
Employment Type: Full Time
Work Hours: 8 Hours
Salary: $24/Hour
Locations: San Francisco, USA


Job Description
Our Information and Investigation group for Disney Web-based features (DSS) is responsible for collecting, processing, and analyzing large amounts of data to inform business decisions and drive innovation. As a Lead Data Engineer, you will play a critical role in designing and developing data solutions that meet the needs of our business stakeholders. Your expertise in big data and cloud computing will enable us to make data-driven decisions and stay ahead of the competition.

Key Responsibilities

Add to the design and development of our data products and data warehouses around Commitment and Maintenance Examination and Information Science
Plan and develop flexible data warehousing solutions, building ETL pipelines in Large Data conditions (cloud, on-prem, hybrid)
Our tech stack includes Hadoop, AWS, Snowflake, Flink, and Windstream, and languages include Python, Scala
Help engineer data solutions/structures and define data models for the core data warehouse and data shops
Collaborate with Data Product Managers, Data Modelers, and Data Architects to design, implement, and deliver successful data solutions
Maintain detailed documentation of your work and changes to ensure data quality and data governance
Ensure high operational productivity and quality of your solutions to meet SLAs and support obligations to our clients (Information Science, Information Examination groups)
Be a proactive member and supporter of agile/scrum practice to ensure safety and cycle enhancements for your team


Key Capabilities

Strong SQL skills and ability to write queries to extract data and build performant datasets
Experience with distributed systems like Flink, Hadoop (HDFS, Hive, Voila, PySpark) to query and process data
Strong programming skills in Python, Java/Scala
Experience with at least one major MPP or cloud database technology (Snowflake, Redshift, Large Query)
Strong involvement in data integration toolsets (i.e Windstream) and writing and maintaining Data Pipelines
Strong in Data Modeling strategies and Data Warehousing standard systems and practices
Aquainted with Scrum and Agile approaches
You are a problem solver with strong analytical and logical skills
Ideal to have experience with Cloud technologies like AWS (S3, EMR, EC2)


What We Offer
As a Lead Data Engineer at careerzynith, you will have the opportunity to work on cutting-edge data projects that drive business growth and innovation. You will be part of a talented team of data professionals who are passionate about data and technology. We offer a competitive salary, comprehensive benefits package, and opportunities for career growth and development.

How to Apply
If you are a motivated and talented data engineer with a passion for big data and cloud computing, we want to hear from you! Please submit your resume and cover letter to apply for this exciting opportunity.

Don't miss out on this chance to join a leading entertainment and media conglomerate and work on cutting-edge data projects that drive business growth and innovation. Apply now to become a part of our team!

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