Umpisa Inc.
Technology Services
DataEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Engineer at Umpisa Inc.. Skills: Data Engineering, Data Pipelines, Azure Data Platform, Databricks, SQL, Python, Apache Spark. Designing, developing, and maintaining end-to-end data solutions in the Enterprise Data Platform. Building scalable, efficient, reliable, and reusable data pipelines and analytic applications”
What You'll Achieve.
Make the Philippines be known globally as a tech hub; Create a set of world-class and impactful products and solutions to help organizations and individuals live better lives; Ensure scalability, performance, and data integrity; Ensure precision and uniformity of data migration and integration; Ensure reliability and scalability of data solutions; Improve data processing speed and reduce latency in workloads; Protect sensitive data stored and processed in the platform; Ensure compliance with industry standards, bank-wide standards, and other regulatory requirements; Improve data engineering processes
Industry & Context.
Problem solving and analytical skills; Excellent problem-solving ability; Ability to think critically, analyze, and solve complex problems effectively
What They're Looking For.
Must Have
Bachelor’s Degree (preferably in Information Technology, Business Administration, or related field), Experience in creating data pipelines, Experience in developing complex and optimized queries, At least 2 years experience in Databricks, At least 2 years experience in Microsoft Azure Data Platform, Experience in SQL, Experience in Python, Experience in Shell, Experience in Scala, Experience with data manipulation processing using Apache Spark, Understanding of data architecture principles, Understanding of data modeling techniques, Understanding of data integration patterns, Experience in designing scalable and efficient data pipelines, Ability to think critically, analyze, and solve complex problems effectively, Excellence communication and collaboration skills, Aptitude for working in cross-functional teams, Agile in adapting to change and learning new technologies, High level of precision in coding, debugging, and documentation
Nice to Have
Experience with DevOps practices, Experience with CI/CD pipelines such as Azure DevOps, Familiarity with data visualization and reporting tools such as Power BI
What You'll Do.
and maintaining end-to-end data solutions in the Enterprise Data Platform
and reusable data pipelines and analytic applications
and implementing data solutions including data ingestion pipelines
Designing and defining data models
Configuring and managing data storage solutions
Designing and implementing data integration/ingestion/transformation/migration/extraction
and implement new data workflows
Performing unit and integration testing
Providing support in UAT
pre-implementation and post-implementation support activities
Providing support/executive analysis needs including ad-hoc reporting analysis
design of data models
Creating technical documents such as solution design
program specifications
and other required documentation
Implementing DevOps practices and automation workflows
Monitoring and optimizing the performance of data pipelines and analytics applications
Implementing security controls and encryption mechanisms
Ensuring compliance with industry standards
and other regulatory requirements
Providing support on maintenance and operations of the environment
Managing and ensuring quality delivery of 3rd-party vendors
Conducting knowledge sharing sessions and training workshops
Staying up to date with industry developments and trends
Recommending and implementing new technologies and approaches
How You'll Work.
Team & Collaboration
Collaborate closely with cross-functional teams to understand business requirements; Collaborate with data scientists, analysts, and other stakeholders to support their data needs; Collaborate with DevOps team to define CI/CD pipelines, automate testing, and ensure reliability and scalability of data solutions; Work as part of a self-organizing Scrum team in a scaled agile framework; Collaborate with the team and client
Communication Scope
Communication skills; Excellence communication and collaboration skills
Full Job Description
At Umpisa Inc., our mission is to make the Philippines be known globally as a tech hub. Umpisa Inc. is a progressive technology services company that partners with select industries, clients and people to work on pioneering and industry-changing solutions via digital transformation, modern software development and venture building. We create a set of world-class and impactful products and solutions to help organizations and individuals live better lives. We offer demanding, challenging and rewarding careers in software development, product development, emerging technologies, and more for the right candidates. **Essential Skills:** * Aligns with our values: Excellence, Integrity, Professionalism, People Success, Customer Success, Fun, Innovation and Diversity * Strong communication skills * Strong problem solving and analytical skills * Excellent problem-solving ability * Would like to work as part of a self-organizing Scrum team in a scaled agile framework * Proactive and quality-focused mindset * Must be a self-starter and loves to collaborate with the team and client **Job Summary ** As a Data Engineer, you will play a key role in designing, developing, and maintaining end-to-end data solutions in the Enterprise Data Platform. You will be responsible for building scalable, efficient, reliable, and reusable data pipelines and analytic applications and your expertise will be leveraged in both backend and frontend development. You will collaborate closely with cross-functional teams to understand business requirements, architect data solutions, and implement best practices for data engineering and analytics. **Duties and Responsibilities** * Design, develop, and implement data solutions including data ingestion pipelines to acquire data from various source systems, storage processing, and visualization as needed, leveraging Azure Data Platforms and Databricks. * Design and define data models, schemas, and structures to support analytical and reporting needs, ensuring
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