Job Description:
H&R Block is looking for an experienced Data Engineer who is passionate about data and is skilled at using Spark, Python, Databricks with knowledge on Cloud Technologies to address a wide range of Tax Data challenges.
You will work on all aspects of the design, development, and delivery of data solutions, including problem definition, testing and evaluation, and deploying end-to-end pipelines and solutions in production on Azure. The responsibilities include:
Designing and develop enterprise infrastructure and platforms required for data engineering using Spark, Python, Databricks, SQL, ETL using Azure Data Factory technologies.
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Test and implement data environments with high analyzing skills.
Azure based cloud technologies to support the data needs.
This role will require you to be a fast learner to take up any additional related data requirements/technologies. You would join a team that owns Tax Data Ops from Operations perspective.
About H&R Block...
H&R Block’s purpose is simple: To provide help and inspire confidence in our clients and communities everywhere. We’ve been true to that purpose since brothers Henry and Richard Bloch founded our company in 1955. Since then, we’ve grown to have approximately 12,000 offices throughout the United States and around the world.
We are a people company first and a tax company second. People who join H&R Block say it feels like being part of something bigger. A place with an amazing and storied history, but with a strong and urgent focus on the future. Maybe it’s how determined, forward thinking and innovative we are, or how accessible our leadership is. We believe it’s all those things, and much more.
H&R Block is committed to diversity and inclusion and is proud to be an equal opportunity employer. We consider qualified applicants regardless of race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. All qualified applicants are welcomed and encouraged to apply.
What you'll bring to the team...Education:- Bachelor’s degree in a related field or the equivalent through a combination of education and related work experience.
- 3 years Minimum related work experience
Experience developing, debugging, and maintaining code in Spark, Python, Databricks
Deep knowledge in SQL Server databases is strongly preferred
Deep knowledge in data analysis, data integrations is preferred
Proficiency in NoSQL (Cosmos DB) is preferred
Experience in cloud services (Azure data services) is preferred
Experience working in a shared service, hybrid environments
Ability to work creatively and analytically in meeting team needs
Ability to ramp up quickly in an evolving and challenging role
Well-honed troubleshooting skills at various levels of complexity
Experience in Azure cloud services (Synapse Analytics, Data Factory) is preferred
Experience in any of the following areas would be a plus, e.g., ETL, data integration, Data analysis
Ability to demonstrate behaviors in line with our culture such as:
Craving and solving difficult problems
Taking calculated risks
Being bold
Being resilient
Embracing diversity of thought to drive enriched client experiences