As a Data Engineer within Data Tech organization, be part of business analytics projects. As a data and reporting engineer you will drive transformational data and analytics initiatives for improving the effectiveness and efficiency for Enterprise business functions. Having the right blend of technological depth, business communication experience, Finance, Sales, Marketing, process and systems expertise along with analytics skills is key to the success of the role. Strong presentation skills and executive presence, with effective communication to create impact and influence both mid-level management users and executives
Required skills and tasks:
- Deep understanding of Cloud Data Warehouse methodologies, Data Architecture, Data Modeling, and metadata.
- Ability to support the creation of single source of truth for metrics leveraging agreed upon data definitions, create a common data foundation, and semantic layers to be consumed by business.
- Deliver highly available, reliable, innovative large-scale data warehousing solutions to facilitate data ingestion, build optimized aggregates and building reporting solutions.
- Deep knowledge and hands-on experience working with Cloud database technologies like Redshift, Snowflake and multiple BI platforms such as Tableau, Splunk and scripting language like Python.
- Strong experience in Python based and API based data ingestion is key
- Solid grasp of operational processes, systems and data in multiple areas of Finance, Sales & operations; Forecasting, Quote to Cash, Pipeline management.
- Understanding of SaaS business applications and processes as in Salesforce, SAP, Eloqua, Anaplan, etc. would be handy
- Identify data patterns, attribute hierarchies and data relationships and organize into data dictionaries, create standardized definitions for metrics and critical metrics.
- Analytical and problem-solving experience, exposure to large-scale systems and experience writing code.
- Strong business analysis skills - capturing and documenting requirements, understanding business impacts and tradeoffs, conducting interviews and workshops, proposing solutions, documentation and training, etc.
- 8+ years of experience as a Data Warehouse Analyst, Data Engineer and/or Data Scientist
- Savviness with complex SQL queries and knowledge of database technologies including window and analytical functions
- Experience with Python analytic libraries and Business Intelligence tools such as Tableau.
- An ability to provide technical guidance, direction and problem solving to data engineering team members.
- Confidence to offer consultation to business partners and team members within Sales, Partner, Marketing Operations.
- A familiarity working with an AGILE/SCRUM process management. Agile certifications is a plus
- Bachelor’s degree preferably in Computer Science, Information Technology, Management Information Systems, or equivalent years of industry experience.
Please let me know if you have any questions