Big Data Engineer

Taguig, National Capital Region

Posted 5 days ago

Company:: World Networking Services
Company Description:: There’s no room for error when filling C-suite positions, and upper-management recruiting requires confidentiality and meticulous attention to detail. Our process begins with learning as much about your organization, employees and corporate culture as possible before identifying the key experience and traits the position’s ideal candidate should possess. Our industry-specific senior-level recruiters have extensive knowledge about the expertise and professional qualities necessary for these high-level positions, which enhances and expedites their search. WONESE has compiled a database of more than 500,000 pre-qualified profiles that span a wide spectrum of specialties and industries, including sales, human resources, software development, accounting, engineering, risk management, compliance and more. We also have long-standing relationships with corporations around the globe, which allows for discreet head-hunting as well. Our clients can decide how involved (or uninvolved) they’d like to be during the search, candidate selection and interviewing stages of the recruitment process—and our work doesn’t end once a position is filled. We like to foster long-term relationships with our clients so we can follow a new hire’s progress and if necessary, help them build a team that will integrate well with the corporation.
Contract Type:: Full Time
Experience Required:: 5 to 10 years
Education Level:: Bachelor’s Degree
Number of vacancies:: 1

Job Description

Position Summary
We are seeking a talented data engineer with expertise in Power BI, Azure Data Factory, Databricks, Python, data warehousing, data lakes, and DevOps. The ideal candidate will have experience in AI and machine learning, with a passion for designing and implementing innovative solutions that drive business outcomes

Responsibilities:
· Design, develop, and implement data engineering solutions using Power BI, Azure Data Factory, Databricks, Python, data warehousing, and data lakes.
· Work collaboratively with data analysts, data scientists, and business stakeholders to understand requirements, identify opportunities for automation and optimization, and deliver innovative solutions.
· Build and maintain efficient data pipelines, ensuring data quality and accuracy, and implement appropriate data governance and security controls.
· Automate and streamline processes to enable faster and more efficient delivery of data-driven insights.
· Develop and maintain DevOps processes for data engineering, including continuous integration and continuous delivery.
· Stay up-to-date with emerging technologies and industry trends, identifying opportunities to incorporate new tools and techniques into our data engineering processes.

Qualifications:
· Bachelor's degree in Computer Science, Engineering, or a related field.·
· Bachelor's degree in Computer Science, Engineering, or a related field.
· At least 5 years of experience in data engineering, with a focus on Power BI, Azure Data Factory, Databricks, Python, data warehousing, and data lakes.
· Strong experience in DevOps processes, including continuous integration and continuous delivery.
· Experience in AI and machine learning, with a proven track record of implementing data-driven solutions in a business context.
· Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and business stakeholders.
· Familiarity with Agile development methodologies and project management tools.
· With passion for learning and staying up-to-date with emerging technologies and industry trends.