Senior Data Engineer

JOB DESCRIPTION/ RESPONSIBILITIES:

Data Engineering & Development

• Develops code and solutions that transfers/transforms data across various systems
• Maintains deep technical knowledge of various tools in the data warehouse, data hub, and analytical tools.
• Ensures data is transformed and stored in efficient methods for retrieval and use.
• Maintains data systems to ensure optimal performance
• Develops a deep understanding of underlying business systems involved with analytical systems.
• Follows standard software development lifecycle, code control, code standards and process standards.
• Maintains and develops technical knowledge by self-training of current toolsets and computing environments, participates in educational opportunities, maintains professional networks, and participates in professional organizations related to their tech skills
• Secure & deploy ADF pipelines, enable CI/CD
• Automate dbt deployments, manage GitHub integration
• Monitor Snowflake costs, auto-suspend, usage analytics
• Enforce access controls (RBAC)
• Proven Expertise to data cataloging and governance tools (e.g., Purview, Atlan, or Collibra) is a plus, setting up and managing data observability tools and capability

Systems Analysis

• Works with key stakeholders to understand business needs and capture functional and technical requirements.
• Offers ideas that simplify the design and complexity of solutions delivered.
• Effectively communicates any expectations required of stakeholders or other resources during solution delivery.
• Develops and executes test plans to ensure successful rollout of solution, including accuracy and quality of data.

Service Management

• Effectively communicates to leaders and stakeholders any obstacles that occur during solution delivery.
• Defines and manages promised delivery dates.
• Pro-actively research, analyzes, and predicts operational issues, informing leadership where appropriate.
• Offers viable options to solve unexpected/unknown issues that occur during solution development and delivery.

EDUCATION / JOB-RELATED TECHNICAL SKILLS:

• Bachelor's Degree in Computer Science/Information Technology or equivalent
• Ability to effectively communicate with others at all levels of the Company both verbally and in writing. Demonstrates a courteous, tactful, and professional approach with employees and others.
• Ability to work in a large, global corporate structure
• Advanced English level, advanced level of additional language is a plus
• Strong sense of ethics and company's core values and adherence thereto
• Demonstrated ability to clearly isolate and define problems, effectively evaluate alternative solutions, and make decisions in a timely manner.
• Good decision-making ability, ability to operate in ambiguous situations and high analytical
• ability to judge pros-cons of approaches against objectives.
• Candidate must have a minimum of (10) years of experience in a Data Engineer role, including the following tools/technologies:
• Proven expertise with relational (SQL) databases.
• Proven expertise with data warehouses like Oracle, SQL & Snowflake.
• Proven technical expertise in data modeling, data mining and segmentation techniques.
• Experience with building new and troubleshooting existing data pipelines using tools like Azure DevOps Integration.
• Experience with batch and real time data ingestion and processing frameworks.
• Experience with languages like Python, Java, etc.
• Knowledge of additional cloud-based analytics solutions, along with Kafka, Spark and Scala is a plus.

Can Work Hybrid 3x a week onsite

Job Type: Full-time

Pay: Php90, Php100,000.00 per month

Benefits:

• Company events
• Health insurance
• Life insurance
• Opportunities for promotion
• Promotion to permanent employee
• Work from home

Work Location: In person