Azure/Databricks Data Engineer

hace 2 días

San José, San José, Costa Rica Hitachi Solutions Ltd A tiempo completo

**Company Description**

**Company Overview**

Hitachi Solutions is a global solutions integrator passionate about designing, developing, and delivering cutting edge cloud solutions to help our clients innovative across their entire business.
Our firm develops the business services and technology powering some of the products you use every day - and is closely aligned with Microsoft and other leaders in the cloud computing space.
What sets Hitachi Solutions apart is both our industry focus, and the intellectual property that we bring to our customers.
Recognized for our achievements year after year, we strive to be the trusted advisor of large and medium sized enterprises alike - helping them move fast to achieve strategic business initiatives with distinguished engineering, hard work, and compassion.
With over 3,000 team members across 14 countries, in our 18 years of focus our company has seen explosive growth and high customer satisfaction.
This has allowed us to offer exceptionally compelling salaries, 401k match, family leave, and health benefits.
And no - we will not make you come into an office or ask for an inflexible work schedule.
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.
**New Product Development and Innovations Team**

This position in our company is housed in our New Product Development and Innovations team formed in 2021.
Joining this team represents an opportunity to fast-track your career and to work with a team of fun and nerdy colleagues in a disruptive atmosphere: well-funded, focused on hypergrowth, moving quickly, and making mistakes in the furtherance of innovation and sound engineering.
Armed with an existing book of business, and a stable financial parent - it is the goal of this group to help our firm introduce products to enhance our already strong services business - ultimately making the cloud easier for our customers, and allowing us to hit our long term financial goals with greater-than linear scale.
**Please note**:Although our position is remote / virtual / work-from-home, 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 preferred, will consider AWS, GCP or other cloud platform experience in lieu of
- Experience with conceptual, logical and/or physical database designs is HIGHLY DESIRED
- 2+ years of hands-on Python/Pyspark/SparkSQL experience is **REQUIRED; **experience with Scala is a plus
- 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**:

- 2+ years of 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
- Strong data modeling / data profiling capabilities with Kimball/star schema methodology is HIGHLY DESIRED
- Professional exp

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