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As a Data Engineer on the A to Z team you will lead the initiative of structuring, designing, and building the platform’s data warehouse, and spinning up data marts that will help drive different features.To be successful in this role, you should have broad skills in database design, be comfortable dealing with complex, medium to large data sets, and understand how self-service dashboards are built and used with your data sets.Key job responsibilities
· Contribute to the architecture, design and implementation of next generation BI solutions.· Manage AWS resources including EC2, RDS, Redshift, Kinesis, EMR, Lambda etc.· Collaborate with data scientists, and business intelligence engineers to deliver high quality data architecture and pipelines.· Interface with other technology teams to extract, transform, and load data from a wide variety of data sources.· Make large and/or complex data more accessible, understandable and usable by implementing advanced BI dashboards and applications.· Own the design, development, and maintenance of metrics, reports, analyses, dashboards, etc. to drive key business decisions
Provide clear communication for recommended actions
- 1+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
- Experience with one or more scripting language (e.g., Python, KornShell)
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.
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