Lead Data Engineer
WWE
Stamford, CTThis was removed by the employer on 6/23/2022 1:20:00 PM PST
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Full Time Job
The Lead Data Engineer, Data Ops is accountable for orchestrating the WWE's multi-cloud big data pipeline and integration platform and will lead a team of production support engineers and operations for our big data management platforms. This role will be key to the rollout and continuous optimization of WWE's Data management platform and partner with Development, cloud operations, and privacy teams to run and scale operations. Our environment is multifaceted, fast-paced, and lots of fun!
Key Responsibilities:
• Develop a Data CI/CD framework setting up standard methodologies across the data management platform in AWS and Google Cloud Platform
• Lead all aspects of the technical flow of data from various collection sources through the final delivery of product
• Building Technology operations, standard operating procedures across change and release management, and data pipeline operations to incorporate industry-standard methodologies
• Identify, design, and implement DataOps process improvements: automate manual processes, optimize data delivery, redesign infrastructure for greater scalability, etc
• Partner with data consumers across Analytics, BI, and data technology to improve speed and quality of insight generation
• Implement automated data quality and integrity checks to identify and resolve data issues within the pipeline;
• Analyze complex data schemas and relationships to implement information models
• Implement monitoring tools, measure metrics, and improve performance for WWE's data assets and analytics services in the cloud
• Plan and transition new products from Product Development into the Data Operations team
• Represent data technology department considerations to broader WWE cloud operations discussions and ensure alignment with overall enterprise cloud strategy
• Direct analytics and data consumption environments using serverless computing (e.g Athena, or similar)
Qualifications:
• 5+ years of expertise in DataOps; proven proficiency with CI/CD tools and concepts (GitLab, and ELT tools like dbt)
• Experience in working with Big Data including Data Pipeline, Event tracking, Streaming Data, and Data Lake architectures
• 5+years of demonstrated ability in programming languages such as Python, Spark, Java, SQL, etc.; 5+ years of validated capabilities in database technologies such as BigQuery, MySQL, Redshift, Snowflake, Hive, etc.
• Strong understanding of cloud architecture, specifically AWS, as it relates to data processing, data modeling, and orchestration (i.e., EC2, S3, Airflow, etc.)
• Technology management experience of onshore and offshore development team
• Experience in implementing user access, security, and user activity logging across data platforms
• Willing and able to work flexible hours and be ''on-call'' as needed
• AWS DevOps and Sys operations certification is a plus; Media industry experience is a plus
• Bachelor's degree or equivalent in Computer Science, Information Systems, Engineering, or other related fields
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