Data Engineer

2 days ago


Ortigas, Philippines iSupport Worldwide Full time ₱1,440,000 - ₱2,040,000 per year

Job Description:

We are seeking a highly skilled Azure Cloud Data Engineer to join our dynamic team. As an Azure Cloud Data Engineer, you will be responsible for designing, implementing, and managing cloud based data solutions using Microsoft Azure. The ideal candidate should have a strong background in data engineering, with hands-on experience in Azure services and tools.

Skill Required: (Must Haves)

· Exp in Data Engineering domain: 2+ Years.

· SQL, Python, Py Spark.

· Spark, Distributed Systems.

· Azure Databricks, Azure Data Factory,ADLS Gen 2 Blob Storage, Key Vaults, Azure DevOps.

· ETL, Building Data Pipelines, Data Warehousing, Data Modelling and Governance.

· Agile Practices, SDLC

· Multi years' experience with Azure-Databricks ecosystem and Py spark.

· Ability to write clean, concise and organized Py spark code.

· Ability to break down the project into executable steps, prepare a DFD and execute the same

· Propose innovative DE solutions to achieve business objectives.

· Quick on his feet, good at tech and logically complex communication

· Good Knowledge of ADF, Docker /containerization.

Experience: 3 - 6 years

Job Type: Full-time

Pay: Php70, Php85,000.00 per month

Benefits:

  • Gym membership
  • Health insurance
  • Paid training
  • Staff meals provided

Work Location: In person



  • Ortigas, Philippines Talentium Inc Full time ₱600,000 - ₱1,740,000 per year

    About the Role:The Senior Data Platform Engineer will be responsible for the design, development, and optimization of our enterprise data platform. This role is key in building scalable data infrastructure, enabling advanced analytics, and supporting data-driven decision-making across the organization.Scope of Work and ResponsibilitiesDesign, build, and...

  • Sr. Data Engineer

    2 days ago


    Ortigas, Philippines ATOMIT Business Solutions Full time ₱600,000 - ₱720,000 per year

    Key Responsibilities:Design, develop, and maintain ETL pipelines using SSIS to extract, transform, and load data from multiple sources.Lead integration of NetSuite ERP data with internal and cloud-based systems.Develop and manage semantic models and OLAP cubes in Azure Analysis Services for reporting and analytics.Architect and implement data warehouse and...

  • Data Engineer

    2 days ago


    Ortigas Center, Philippines Questronix Corporation Full time ₱900,000 - ₱1,200,000 per year

    Job DescriptionAnalyze and organize raw data Build data systems and pipelines Evaluate business needs and objectives Combine raw information from different sources Explore ways to enhance data quality and reliability Identify opportunities for data acquisition Develop analytical tools and programs RequirementsRequirements: Proven experience as Data Engineer...

  • Data Engineer

    4 days ago


    Ortigas, Metro Manila, Philippines Satellite Office Full time ₱900,000 - ₱1,200,000 per year

    DATA ENGINEER (12mos Contract)Work for our global clients and immerse in our rich and diverse company culture where you can thrive, grow and just be aweSOme Apply now and discover the Satellite Office Candidate Experience – recognized as one of BEST among BPO companies worldwide.WHAT IS A/AN DATA ENGINEER (12mos Contract)?We are seeking an experienced...

  • Analytics Engineer

    4 days ago


    Ortigas, Philippines Adventure Consultancy Solutions Full time ₱1,200,000 - ₱1,440,000 per year

    About the Role:The Senior Analytics Engineer will be responsible for designing, developing, and maintaining end-to-end data solutions. This includes building robust data pipelines that extract from source systems into the data warehouse, transforming raw data into well-modeled datasets readily available for business intelligence, and creating interactive and...

  • Data Engineer

    2 days ago


    Ortigas Center, Philippines Questronix Corporation Full time ₱900,000 - ₱1,200,000 per year

    Analyze and organize raw data Build data systems and pipelines Evaluate business needs and objectives Combine raw information from different sources Explore ways to enhance data quality and reliability Identify opportunities for data acquisition Develop analytical tools and programs RequirementsStrong analytical and planning skills; Good communication and...

  • Data Engineer

    2 days ago


    Ortigas Center, Philippines Questronix Corporation Full time ₱900,000 - ₱1,200,000 per year

    Job DescriptionAnalyze and organize raw data Build data systems and pipelines Evaluate business needs and objectives Combine raw information from different sources Explore ways to enhance data quality and reliability Identify opportunities for data acquisition Develop analytical tools and programs RequirementsMinimum QualificationsStrong analytical and...

  • Analytics Engineer

    4 days ago


    Ortigas, Philippines iSupport Worldwide Full time ₱1,200,000 - ₱2,400,000 per year

    What You'll DoDesign, build, and maintain clean, well-documented data models with SQL and dbt.Integrate and model data from first-party sources (CRM, event tracking) and third-party platforms (ad/media partners).Use git for version control and collaborative code practices.Work with BigQuery to ensure efficient data processing and storage.Partner with data...

  • Azure Data Engineer

    4 days ago


    Ortigas Post Office, Philippines Asian Technology Solutions Full time ₱720,000 - ₱960,000 per year

    JOB DESCRIPTION:Design, implement, and manage end-to-end data solutions using Azure services such as Azure Synapse Analytics, Azure Data Factory, Azure Function, Cosmos DB and Databricks.Develop and maintain efficient data pipelines and workflows to process data at scale. • Build and maintain notebooks in Databricks for data processing and...


  • Ortigas, Philippines Talentium Inc Full time ₱1,030,000 - ₱1,500,000 per year

    Contractual (min. of 12 months, renewable)Hybrid setupThe Senior Analytics Engineer will be responsible for designing, developing, and maintaining end-to-end data solutions. This includes building robust data pipelines that extract from source systems into the data warehouse, transforming raw data into well-modeled datasets readily available for business...