Data Engineer Databricks Unified Analytics Platform y7
Manila, National Capital Region
Posted today
- Company:
- Neksjob Philippines
- Company Description:
- ABOUT US 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. WHAT WE DO Recruitment Process Outsourcing We take pride in delivering highly efficient candidates at a fast-paced resource recruiting guaranteed one time deployment. Complete your team of experts now! Staffing We dedicate our company in finding only the highest caliber of team that can deliver all the requirements for your project. Web Design & Software Development Our team not only brings life to websites but also is capable of delivering specific requirements accordingly.
- Contract Type:
- Full Time
- Experience Required:
- No Experience
- Education Level:
- Bachelor’s Degree
- Number of vacancies:
- 100
Job Description
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.
Why Join Us?
If you are passionate about data engineering and thrive in a collaborative and innovative environment, this is your chance to contribute to impactful projects. Bring your expertise to a team where your skills will be valued, and your career will grow.