Senior Data Engineer

2 weeks ago

Quezon City, Philippines Risewave Consulting, Inc. Full time

Job Description

  • 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
  • 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.
Qualifications
  • At least 7 years of experience in a Data Engineer role.
  • 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.
Seniority level
  • Mid-Senior level
Employment type
  • Full-time
Job function
  • Information Technology
Industries
  • Staffing and Recruiting
  • IT Services and IT Consulting

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