Data Engineer Developer

3 hours ago

Pasig, National Capital Region, Philippines Weave Solutions, Inc. Full time ₱1,500,000 - ₱3,000,000 per year

JOB RESPONSIBILITIES:

  • Design, implement, monitor, and maintain performant and scalable ETL pipelines to efficiently and effectively extract data from various sources – such as databases, flat files, and online sources – both structured and unstructured, to consolidate and transform them into specified targets such as a data warehouse.
  • Ensure data quality requirements in the data platforms are met through creation and implementation of automated detection of anomalies and remediation, as applicable, related to validity, accuracy, completeness, timeliness, uniqueness, and consistency.
  • Collaborate with cross-functional teams to ensure data engineering solutions are aligned with business requirements and objectives – such as business and process owners, solution architects, and BI developers.
  • Participate and contribute to all data-engineering related project activities – such as solution design, testing (unit testing, SIT, UAT, hypercare) – as well as housekeeping/BAU activities – such as troubleshooting / issue resolutions, enhancements, extensions, and optimization.
  • Contribute to the company's knowledge repository by creating and continuously updating requisite technical documentation – such as solution architectures, data mapping documents, root cause analyses and how-to guides – to support all data engineering activities.
  • Conduct knowledge-sharing sessions with other members of the technology office, as applicable

QUALIFICATIONS:

  • Usage, administration, and configuration of AWS data engineering-related services, including:
  • AWS S3, AWS Redshift, AWS Glue, AWS EC2, AWS RDS, AWS DMS, and AWS Lambda.
  • Usage, administration, and configuration of other data engineering-related platforms, including: Snowflake, Apache Airflow, Talend Data Management, and Git/GitHub/GitLab.
  • Candidates are expected to have a solid conceptual understanding of data modeling, including dimensional modeling and data vault modeling.
  • Candidates are expected to communicate effectively, in either English or Filipino, to ensure solutions delivered are both high quality and timely.
  • Candidates are expected to be self-sufficient and proactive, and must be able to both ideate and implement end-to-end data engineering solutions with minimal supervision.
  • Experience in other DE/BI stacks, such as: Microsoft (DataBricks, SSMS, SSIS, SSAS, ADF, etc), Oracle (ODI), SAP (DS, BW), Informatica is not required, but will be considered a plus.
  • Experience in programming languages, such as Python and Spark, is not required, but will be considered a plus.

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