Databricks Data Engineer
Share
Job Location:
Monthly Salary:
Posted on:
6 hours ago
Vacancies:
1 Vacancy
Job Summary
Job Description:
We are looking for a highly experienced Data Engineer to join our product organization in a full-time role. This position focuses on Big Data systems design and data architecture with a special emphasis on Spark and Delta/Data Lake technology.
In this role you will help design develop enhance and maintain complex data pipeline and API products that manage business-critical operations and large-scale analytics. We are looking for applicants who demonstrate a capability to learn new concepts quickly and bring a robust background in data engineering or software engineering expertise.
Responsibilities
- Collaborate: Work collaboratively with other engineers to architect and implement complex systems with minimal oversight while partnering with team leadership to identify how best to improve and expand platform capabilities.
- Build & Design: Design develop and maintain complex data pipeline products that support business-critical operations and large-scale analytics applications.
- Support the Team: Partner with analytics data science and engineering teams to understand and solve their unique data needs and challenges.
- Continuous Learning: Dedicate time to staying current with the latest developments in the space and embrace new concepts to keep up with fast-moving data engineering technology.
- Autonomy: Enjoy a role that offers strong independence and autonomy while contributing to the technical maturity of the organization.
Qualifications :
Qualifications & Skills
- Experience: 5 years of Data Engineering experience including 4 years designing and building Databricks data pipelines is essential. While Azure cloud experience is preferred we are happy to consider experience with AWS GCP or other cloud platforms.
- Technical Stack:
- 4 years of hands-on experience with Python Pyspark or SparkSQL is key. Experience with Scala is a plus.
- 4 years of experience with Big Data pipelines or DAG Tools (such as Airflow Dbt Data Factory or similar).
- 4 years of Spark experience especially with Databricks Spark and Delta Lake.
- 4 years of hands-on experience implementing Big Data solutions in a cloud ecosystem including Data/Delta Lakes.
- 5 years of relevant software development experience including Python 3.x Django/Flask Frameworks FastAPI (or other standard industry API) and relational databases (SQL/ORM).
Additional Information :
- Additional Skills (Great to have):
- Experience with Microsoft Fabric specifically with Pyspark on Fabric and Fabric Pipelines
- Experience with conceptual logical and/or physical database designs.
- Strong SQL experience specifically writing complex highly optimized queries across large volumes of data.
- Strong data modeling/profiling capabilities using Kimball/star schema methodology as well as medallion architecture.
- Professional experience with Kafka EventHub or other live streaming technologies.
- Familiarity with database deployment pipelines (e.g. dacpac or similar).
- Experience with unit testing or data quality frameworks.
Beware of scams
Our recruiting team may communicate with candidates via our @ domain email address and/or via our SmartRecruiters (Applicant Tracking System) domain email address regarding your application and interview requests.
All offers will originate from our @ domain email address. If you receive an offer or information from someone purporting to be an employee of Hitachi Solutions from any other domain it may not be legitimate.
Remote Work :
No
Employment Type :
Full-time
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
Hitachi solutions is the global leader in delivering success with business applications based on Microsoft Cloud, including Dynamics 365. With deep industry expertise and the latest technologies around ERP, CRM, Field service, BI, IOT and Ecommerce, we help companies transform their b ... View more
