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Senior Engineer, Data Engineering

Company: WWE
Location: Stamford
Posted on: April 10, 2021

Job Description:

Senior Engineer, Data Engineering WWE has an Enterprise Data Warehouse and continues to focus on improving the data-driven decision-making and automation processes. This role will be reporting to the Senior Director, Data Platform Engineering and supervise the team of ETL Developers, Data Engineers, QA, and Data analysts who build, enhance and optimize ETL (Extract, Transform, Load) jobs, implement data lake and warehouse solutions and manage their day-to-day tasks. The Senior Engineer will be responsible for the continued success of the data warehouse release cycle process, prioritizing items for inclusion, and ensuring those tasks are completed per schedule. The candidate must have strong data lake, data warehouse, data pipeline design/development, data modeling, SQL, AWS Cloud, and Big Data Technologies experience. You will have the opportunity to contribute to end-to-end platform design for our cloud architecture and work multi-functionally with operations, data science, and the business segments to build batch and real-time data solutions. The role will be part of the Data Platform Engineering team supporting WWE Corporate Marketing, Products, Content, and Consumer business units. This is also a hands-on position, requiring extensive experience developing and maintaining complex data warehouse and data transformation processes on AWS cloud as well as good decision making, leadership, time management, prioritization, and escalation skills are required to ensure all objectives are met Key Responsibilities: Oversee the on-going development of the enterprise data warehouse using inputs from the business end-user's perspective to produce timely and accurate information for management decision making and planning Supervise the EDW/ETL team, including the design and development of the data warehouse Evaluate EDW/ETL team members and provide input into the performance planning and evaluation process Work with business stakeholders and data SMEs to clarify requirements and business rules Responsible for the prompt, courteous, and efficient management of all support requests to the Data Warehouse team, including ad-hoc data analysis requests Oversee efforts to design, develop, implement, and validate ETL/ELT processes Architect analytical data layers (marts, aggregates, reporting, semantic layer) and define methods of building and consuming data (views, tables, extracts, caching) leveraging CI/CD approaches with tools such as Python and dbt. Provide expertise and guidance in the creation and refinement of agile technical stories for data architecture and development Work with Data Management to establish governance processes around meta-data to ensure an integrated definition of data for enterprise information, and to ensure the accuracy, validity, and reusability of metadata Assist in developing long-term strategies and capacity planning for meeting future data warehouse and data automation needs Experience in Delivering solutions using Agile methodologies and supporting tools like Jira Experience in building CI/CD pipelines on AWS and Google Cloud Conduct POC's for Data Integration tools, continuously assessing, automating, and evolving data Integration roadmap Responsible for creating and maintaining inbound and outbound Data Delivery SLA's Ability to implement PII data policies and principles to ensure data is secured, acceptable and accurate Document and maintain all the processes and procedures pertaining to ETL and data warehouse usage/development of the organization, including a data dictionary Education & Technical Experience Requirements Bachelor's in computer science, science, or similar technical degree 10+ years of hands-on experience in building data pipeline using traditional ETL tech stack and big data technologies 5+ years of experience with traditional ETL/ELT technologies such as Talend, Informatica, SSIS, MPP, and NoSQL Databases with the recent experience on AWS cloud technologies 3+ years of experience with AWS services including S3, Lambda, Redshift, EMR, and RDS databases such as MySQL, DynamoDB 3+ years of experience with Hadoop, Hive, PySpark, Airflow, Talend Big Data Platform, and Streaming Technologies (Kinesis/Kafka) 3+ years of experience in programming languages such as Python, R, Java, C# 3+ years of team management experience Experience designing, deploying and supporting production cloud services in AWS ecosystem including EC2, VPC, SQS, RDS, ELB, EBS, S3, KMS, Redshift Experience in AWS MLOPS tools and understanding of the data science model development processes Solid experience in data modeling, star/snowflake schemas design/development, and dimensional modeling Proficient in Data warehousing theory, practice and combined with strong hands-on experience in data warehousing, frameworks development, and data architecture Hands-on experience in managing and delivering high-performance ETL solutions Must have experience in implementing the end to end data warehousing solution Able to sell concepts and designs/benefits to multiple audiences Able to work within a cross-functional team environment with people from multiple business units, vendors, countries, and cultures. Experience in .Net, C#, Java, Web Development is a plus Experience in Social Media Datasets such as Twitter, YouTube, Facebook, Instagram is a plus Experience in Google Clickstream, DFP, or Adobe Analytics datasets is a plus Experience in dealing with the Media content subscription-based datasets is a plus AWS Cloud Certification is a plus Experience in Media & Entertainment industry is a plus #LI-GH1 _ WWE is an Equal Opportunity Affirmative Action employer and is subject to federal regulations pertaining to employment. WWE does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, marital status, veteran status, or any other basis prohibited under federal, state or local laws governing non-discrimination in employment in every location in which the Company has facilities. WWE also provides reasonable accommodation for qualified individuals with disabilities in accordance with the Americans with Disabilities Act (ADA) and any other state or local laws. For information about Privacy and Information Security for WWE employment candidates, please review our Candidate Privacy Policy. For information regarding Terms and Conditions for this and other WWE websites, please review our Terms and Conditions of Use.

Keywords: WWE, Stamford , Senior Engineer, Data Engineering, Engineering , Stamford, Connecticut

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