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About Us
Hitachi Solutions Ltd. is a global Microsoft solutions integrator with a passion for developing and delivering industry-focused solutions that support our clients in achieving their business transformation goals.
We differentiate ourselves through our industry focus, expertise, and intellectual property. We maintain a strategic relationship with Microsoft and have been recognized for our achievements in delivering innovative digital solutions and services.
As part of Hitachi, Ltd., we have a long history of innovation, financial strength, and international presence as one of the world's largest companies.
About the Role
This full-time role in our product organization requires a highly experienced Data Engineer in Big Data systems design with skills in data architecture, particularly Spark and Delta/Data Lake technology.
Individuals in this role will assist in designing, developing, enhancing, and maintaining complex data pipelines products that manage business-critical operations and large-scale analytics pipelines.
Qualified applicants will have demonstrated capability to learn new concepts quickly, a data engineering background, and/or robust software engineering expertise.
Responsibilities
- Scope and execute tasks together with team leadership.
- Work with the team to understand platform capabilities and how to best improve and expand those capabilities.
- Strong independence and autonomy.
- Experience leading mid- and senior-level data engineers.
- Support analytics, data science, and/or engineering teams and understand their unique needs and challenges.
- Instill excellence into processes, methodologies, standards, and technology choices embraced by the team.
- Embrace new concepts quickly to keep up with fast-moving data engineering technology.
- Dedicate time to continuous learning to keep the team apprised of the latest developments in the space.
- Commitment to developing technical maturity across the company.
Qualifications
- 5+ years of Data Engineering experience including 2+ years designing and building Databricks data pipelines is REQUIRED; Azure cloud is HIGHLY PREFERRED, however will consider AWS, GCP or other cloud platform experience in lieu of.
- Experience with conceptual, logical, and/or physical database designs is A PLUS.
- 2+ years of hands-on Python/Pyspark/SparkSQL and/or Scala experience is REQUIRED.
- 2+ years of experience with Big Data pipelines or DAG Tools (Airflow, dbt, Data Factory, or similar) is REQUIRED.
- 2+ years of Spark experience (especially Databricks Spark and Delta Lake) is REQUIRED.
- 2+ years of hands-on experience implementing Big Data solutions in a cloud ecosystem, including Data/Delta Lakes, is REQUIRED.
- Experience with source control (git) on the command line is REQUIRED.
- 2+ years of SQL experience, specifically to write complex, highly optimized queries across large volumes of data is HIGHLY DESIRED.
- Data modeling/data profiling capabilities with Kimball/star schema methodology is A PLUS.
- Professional experience with Kafka, or other live data streaming technology, is HIGHLY DESIRED.
- Professional experience with database deployment pipelines (i.e., dacpac's or similar technology) is HIGHLY DESIRED.
- Professional experience with one or more unit testing or data quality frameworks is HIGHLY DESIRED.
