Manager, Data Engineering
We are seeking a Manager for the Data Engineering team. who will partner with business, analytics and engineering teams to design, build and maintain our growing Data Warehousing and Analytical reporting Environment. You will build ease of use data structures to facilitate reporting and monitoring key performance indicators. Collaborating across disciplines, you will identify internal/external data sources to design and implement table structure, data products, ETL strategy, automation frameworks and scalable data pipelines.
Responsibilities :
- Create the vision for Data and Data Warehousing team for product verticals and create a plan to achieve that vision
- Partner with cross functional teams including product management/data infra/customer teams to build shared goals
- Establish the processes needed to achieve operational excellence in all areas, including project management and system reliability
- Build a high-quality BI and Data Warehousing team
- Build relationships with Data Scientists, Product Managers and Software Engineers to understand data needs
- Manage data warehouse plans and roadmap across Disney product lines
- Guide the design, building, and launching of new data models and data pipelines in production
- Manage development of data team resources to support new product launches
- Ensure high levels of data quality across the product vertical and related business areas
- Manage the delivery of insightful dashboards and data visualizations
- Establish SLA’s for all data sets and processes running in production
- Develop Data Quality checks for source and target data sets. Develop UAT plans and conduct QA.
- Develop and maintain ETL routines using ETL and orchestration tools such as Airflow, Luigi and Jenkins.
- Document and publish Metadata and table designs to facilitate data adoption.
- Coach and mentor team members to improve their designs and ETL processes
Basic Qualifications :
- 6+ years of relevant Professional experience. 2+ Years in Direct people management capacity
- 5+ years work experience in building data warehousing environments. Strong background of data modeling principles including Dimensional modeling, data normalization principles etc.
- 5 + years experience using analytic SQL, working with traditional relational databases and/or distributed systems such as Hadoop / Hive, BigQuery, Redshift.
- 2+ Years of experience programming languages (e.g. Python, R, bash).
- 2+ years of experience with workflow management tools (Airflow, Oozie, Azkaban, UC4)
- Project Management experience
- Experience with Hadoop (or similar) Ecosystem (MapReduce, Yarn, HDFS, Hive, Spark, Presto, Pig, HBase)
- Familiarity with data exploration / data visualization tools like Tableau, Chartio, etc.
- Ability to think strategically, analyze and interpret market and consumer information.
- Strong communication skills – written and verbal presentations.
- Excellent conceptual and analytical reasoning competencies.
- Degree in an analytical field such as economics, mathematics, or computer science is desired.
- Comfortable working in a fast-paced and highly collaborative environment.
Additional Information :
DISNEYTECH