**Company Description**
Hitachi Solutions is a global Microsoft solutions integrator passionate about developing and delivering industry-focused solutions that support our clients to deliver on their business transformation goals. Our industry focus, expertise, and intellectual property is what truly sets us apart. We have earned, and continue to maintain, a strategic relationship with Microsoft. Recognized for our achievements - teaming with our clients to deliver innovative digital solutions and services - is how we have achieved year after year recognition.
A part of Hitachi, Ltd., our company has a long and rich history of innovation, financial strength, and international presence of one of the world's largest companies. Since 1910, Hitachi, Ltd. has been a leader in manufacturing innovative products and solutions that support industry and social infrastructure around the globe supported by 303,000 employees in over 100 countries and across 864 companies.
**Please note**:Although our position is remote / virtual, you
**MUST** reside, and be authorized to work, in Costa Rica.
**DATA ENGINEER (DATABRICKS, PYTHON, SPARK)**
This is a full-time role in our product organization for a highly experienced Data Engineer in Big Data systems design with skills in data architecture, especially Spark and Delta/Data Lake technology.
Individuals in this role will assist in the design, development, enhancement, and maintenance of complex data pipelines products that manage business critical operations, and large-scale analytics pipelines. Qualified applicants will have a demonstrated capability to learn new concepts quickly, have a data engineering background, and/or have robust software engineering expertise.
**Responsibilities**
- Scope and execute 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 the 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 appraised 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**
**#LI-CA1**
**#REMOTE**
**#databricks**
**#dataengineer**
**#datawrangler**
**Additional Information**
We are an equal opportunity employer. All applicants will be considered for employment without attention to age, race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
All your information will be kept confidential according to EEO guidelines.
**Beware of scams