Website Makati City

Key Duties & Responsibilities:

  • Understand, analyze, map and document data landscape.
  • Build and operate cloud-based data processing pipelines and reliable, performant and secure.
  • Design, implement and maintain innovative data solutions that help to deliver real value from our data
  • Manage the Azure data infrastructure – including monitoring, cost, right-sizing, scaling, etc.
  • Define and implement best practices within a DataOps and MLOps processes.

Qualifications and Experience:

  • Define and implement best practices within a DataOps and MLOps processes.
  • At least 3+ years of experience in a Senior Data Engineering is preferred.
  • Solid understanding of full data lifecycle, design, development, enhancement, maintenance, and improvement of ETL/ELT processes.
  • Expertise in SQL, DAX & M-Query and proficiency in at least one data programming language (Python, R, Scala etc.).
  • Industry experience using Microsoft Azure cloud data tools (Azure Synapse DW, Azure SQL DB, Azure Data Factory, Azure Databricks, Azure Functions, Azure Analysis Service and Power BI).
  • Solid understanding between various data modelling techniques.
  • Solid understanding of distributed processing (Spark, Hadoop etc.) and MPP (Azure Synapse, Snowflake, AWS Redshift etc.) technologies.
  • Proficiency in one or more analytics and visualization tools (PowerBI, Tableau etc.)
  • Extensive experience on creation and maintenance of data architectures and data governance, including Master Data, Meta Data, and Transactional Data.
  • Strong organizational and time management skills.
  • Ability to thrive in a fast-paced and dynamic environment.
  • Strong interpersonal skills and willingness to work as part of a team.
  • Flexible in your work approach to allow for changing business requirements

Desirable:

  • Experience working with semi-structured, unstructured, relational, and non-relational data.
  • Ability to identify and perform linkages across disparate data sets.
  • Experience preparing data for Data Science and Machine Learning modeling.
  • Understanding of key statistical and machine learning concepts across different areas of data science.
  • Knowledge of relevant data and ML engineering concepts (e.g., database management, processing pipelines, and model deployment).
  • Proficiency in one or more analytics and visualization tools (PowerBI, Tableau etc.).
  • Industry experience with subscription products (mobile and web) experience.Experience working with performance marketing data, ad network and attribution APIs i.e., Facebook Ads, Google Ads, Appsflyer.

Work Details:

  • Schedule: Monday to Friday, 7:00am- 4:00pm.
  • Location: Makati | Work from Home Until Further Notice.
  • Status: Open for Full time employment and Contractor set-up

To apply for this job email your details to jill.vega@flexisourceitph.com