Data Engineer Databricks Unified Analytics Platform y4
Rizal, Rizal
Posted today
- Company:
- Neksjob Corporation
- Company Description:
- Neksjob is an outsourcing and social enterprise that provides quality services to our clients locally and abroad. We are driven by the innate desire to bring about change by encouraging out of the box solutions to well-worn path challenges at a cost-effective rate. We aim to bridge the gap between countries and cultures, distance and time zones, to bring the world closer through the help of emerging technology.
- Contract Type:
- Full Time
- Experience Required:
- 1 year
- Education Level:
- Bachelor’s Degree
- Number of vacancies:
- 100
Job Description
We are looking for a skilled and motivated Data Engineer to join our team. In this role, you will design, develop, and maintain data solutions using the Databricks Unified Data Analytics Platform. You will focus on creating efficient data pipelines, ensuring high data quality, and implementing ETL processes to manage data migration and deployment across various systems.
Key Responsibilities:
Design and develop robust data solutions using the Databricks Unified Data Analytics Platform.
Build and maintain efficient data pipelines to extract, transform, and load (ETL) data.
Implement data validation and cleansing processes to ensure data quality.
Collaborate with cross-functional teams to understand data requirements and deliver tailored solutions.
Migrate and deploy data across systems through optimized ETL processes.
Required Skills and Qualifications:
Proficiency in the Databricks Unified Data Analytics Platform (minimum 1 year of experience).
Strong expertise in ETL processes and tools.
Proficiency in Microsoft SQL Server, Python, and cloud services such as Azure, AWS, or GCP.
Deep understanding of data engineering principles and best practices.
Hands-on experience in designing and developing data pipelines.
Knowledge of data validation, cleansing techniques, and database management systems.
Preferred Qualifications:
Educational background in Data Engineering, Computer Science, or a related field.
Proven track record of delivering data-driven solutions.
Familiarity with data migration and deployment strategies.