Data Engineer (Hybrid)
Taguig, National Capital Region
Posted 3 days ago
- Company:
- Hunter's Hub Inc.
- Company Description:
- Hunter’s Hub Incorporated is a Sourcing and Headhunting company that was founded earlier on in the year 2018. The company prides itself in its ability to source and recruit only the best and brightest of each industry. Hunter’s Hub caters to numerous clients in a multitude of industries, and has a wide-range of candidate selections to suit any of our clients’ needs. Likewise, the company specialises in sourcing out highly skilled and multi-talented IT professionals because the company mostly caters to clients being widely known to be in the IT industry. Hunter’s Hub sets itself apart from the rest of the company in the industry due to the various prominent selections of services that are custom-fit for our clients and the numerous kinds of professionals we are able to provide. Our services are highly based off of our clients’ needs and requirements, and we are able to dispense any kind of personnel that they need whether professional or non-professional. We look for only the best, and provide only the best.
- Contract Type:
- Contract
- Experience Required:
- 3 to 4 years
- Education Level:
- Bachelor’s Degree
- Gender:
- Any
- Number of vacancies:
- 2
Job Description
We are seeking a highly skilled Data Engineer to join our team. The successful candidate will be responsible for designing, building, and maintaining the data infrastructure that supports our data analytics and machine learning initiatives. This includes developing and managing data pipelines, building and optimizing data warehouses and data lakes, and ensuring the quality and security of data.
Job description:
• Design, build, and maintain scalable data pipelines using Databricks and Azure Data Factory.
• Develop and manage data warehouses and data lakes to support data analytics and machine learning initiatives.
• Ensure the quality, accuracy, and security of data.
• Collaborate with data scientists, analysts, and other stakeholders to support their data needs.
• Continuously monitor, test, and improve the performance and reliability of our data infrastructure.
Job qualifications:
• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Minimum of 3-4 years of experience as Data Engineer or related role.
• Strong experience with Databricks and Azure Data Factory.
• Experience with data warehousing, data modeling, and data architecture.
• Proficiency in SQL, Python, Scala and experience with big data technologies such as Hadoop, Spark, and Hive.