Big Data Engineer Leader
hace 2 semanas
Hitachi Solutions is a global Microsoft solutions integrator passionate about delivering industry-focused solutions that support our clients in achieving their business transformation goals.
Our team specializes in developing and delivering innovative digital solutions and services, recognized for our achievements year after year.
Job Description
This full-time role is part of our product organization and requires a highly experienced Data Engineer with expertise in Big Data systems design, data architecture, especially Spark and Delta/Data Lake technology.
The successful candidate will assist in designing, developing, enhancing, and maintaining complex data pipelines products managing business-critical operations and large-scale analytics pipelines.
Key Responsibilities
- Scope and execute projects together with team leadership.
- Work with the team to understand platform capabilities and improve and expand those capabilities.
- Maintain strong independence and autonomy while leading mid- and senior-level data engineers.
- Support analytics, data science, and engineering teams and understand their unique needs and challenges.
- Instill excellence into team processes, methodologies, standards, and technology choices.
- Embrace new concepts quickly to keep up with fast-moving data engineering technology.
- Commit to continuous learning and develop technical maturity across the company.
Requirements
- 5+ years of Data Engineering experience, including 2+ years designing and building Databricks data pipelines.
- Experience with conceptual, logical, and/or physical database designs.
- 2+ years of hands-on Python/Pyspark/SparkSQL experience.
- 2+ years of experience with Big Data pipelines or DAG Tools (Airflow, Dbt, Data Factory, or similar).
- 2+ years of Spark experience (especially Databricks Spark and Delta Lake).
- 2+ years of hands-on experience implementing Big Data solutions in a cloud ecosystem, including Data/Delta Lakes.
- 2+ years of experience with source control (git) on the command line.
- 2+ years of SQL experience, specifically writing complex, highly optimized queries across large volumes of data.
Benefits
- We offer a competitive salary and benefits package.
- A collaborative and dynamic work environment.
- Ongoing training and professional development opportunities.
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