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Hybrid senior data engineer role based in Makati, Philippines, focused on designing, building, and maintaining scalable ETL/ELT pipelines and Azure data warehouses using Azure Data Factory, Databricks, and Synapse, while ensuring data quality and partnering with analytics and business teams.
Leads a data engineering team building cloud ETL pipelines on AWS using Glue, Lambda, DBT, and Python, with Snowflake, PostgreSQL, and Athena for warehousing and BI. Day to day, the person guides project teams and drives data transformation initiatives across the organization.
A data engineer (non-executive level) at Accenture Philippines who designs, builds, and optimizes Snowflake data solutions — pipelines, ETL/ELT, governance, and performance tuning — and enables GenAI use cases via Snowflake Cortex. Requires 3+ years of Snowflake/data engineering experience, strong SQL, one cloud platform, and SnowPro Core certification.
A data engineer at Merkle Schweiz builds and maintains data platforms that ingest, transform, and serve data for analytics products. Day-to-day work centers on Spark/PySpark transformations, Azure Databricks, Unity Catalog governance, and BI delivery via Power BI or Tableau.
Mahindra and Mahindra Limited is hiring an Assistant Manager / Data Engineer to build and automate data ingestion pipelines from automotive data sources using GCP data tools. Day to day, the role cleans, transforms, and models data for data science models and dashboards while maintaining data quality and governance.
Junior Data Engineer at Ascendion building and supporting data pipelines using Python and SQL, with ETL/ELT work on cloud platforms like AWS or Azure. Hybrid role based in BGC, Taguig, suited to candidates with 1-3 years of experience who want to grow alongside senior engineers.
A data engineer at Lufthansa Systems designs, builds, and optimizes data warehouse systems powering aviation business insights, working with business stakeholders on requirements and data improvements. Core stack includes SQL, Teradata, ETL tooling, and Azure cloud.
Administers and supports enterprise database and data platforms day to day: installing, patching and tuning databases (SQL Server or SAP HANA), managing backups, HA/DR and migrations across AWS/Azure/GCP, and automating operations with scripting and IaC tools like Terraform, Ansible or CloudFormation.
Entry-level (0-1 years) data engineer role at Mahindra and Mahindra building and automating data ingestion pipelines from automotive data sources on Google Cloud (BigQuery, Dataflow, Dataproc, Cloud Storage), cleaning and modeling datasets for analytics, and partnering with data scientists and analysts.
Engineer on JPMorganChase's Workforce Technology, Employee Platforms team, designing, building, and troubleshooting secure, scalable big data pipelines on AWS. Day to day involves data integration, data analysis, and BI integration design while collaborating with distributed teams and using enterprise AI-assisted development tools.
Data engineer at Citco, a global fund services firm, building and maintaining ETL/ELT pipelines on Databricks and AWS, and migrating legacy data platforms to Databricks on AWS. Core stack: Databricks (Delta Lake, DLT, Unity Catalog), Spark/PySpark, SQL, Python, AWS Glue, S3.
Senior Data Engineer at Lean Solutions Group (Philippines) who designs, builds, and optimizes scalable data pipelines and data warehouses on leading cloud platforms. Day to day involves hands-on delivery with SQL and Python/Scala, collaborating across teams to ensure data governance, security, and quality in a client-facing environment.
Data Engineer at Cognite in the Philippines designing scalable, AI-driven data pipelines and integrating the Cognite Data Fusion platform for critical industries like power, utilities, energy, and manufacturing. Day-to-day work centers on Python, SQL, REST APIs, and cloud services alongside data scientists and architects.
Data Engineer at dentsu (Merkle brand) building and maintaining data pipelines and self-serve data platforms for media and sustainability analytics products. Day to day involves ingesting data via APIs into cloud data lakes, transforming it with Spark/PySpark and SQL, orchestrating workflows, and governing data in Databricks/Azure for BI tools like Power BI and Tableau.
Citco is hiring a Data Engineer to design and operate scalable ETL/ELT pipelines using Databricks Delta Lake and Spark, migrate data workflows to AWS Databricks, and optimize data models for batch and streaming workloads. Core stack: Databricks, Spark, SQL, Python, PySpark/Scala, and AWS.
Lead a data engineering team building ETL and data transformation pipelines on AWS (Glue, Lambda, DBT, Snowflake), working with PostgreSQL and Athena databases and producing reporting in Power BI/Tableau using Python. Requires 5+ years of AWS ETL experience plus leadership skills.
Cognite is hiring a Data Engineer in the Philippines to design scalable data engineering solutions on its industrial DataOps platform, Cognite Data Fusion — building integrations, pipelines, and data models for customers in power, energy, and manufacturing using SQL, Python/Java, and REST APIs, with Kubernetes and cloud (GCP/Azure) experience.
Senior Data Engineer at GCash (Globe Telecom) who designs and develops pipelines ingesting source-system data into the data warehouse and optimizes existing pipelines to meet service levels. Core stack: SQL, ETL, data warehousing/BI, with Big Data tools (Hadoop, Spark) and cloud; Python/Java/Scala a plus.
Junior Data Engineer (1-3 yrs) building and maintaining data pipelines, ETL/ELT workflows, and SQL processing in a hybrid dayshift role based in BGC, Taguig. Core stack is Python and SQL, with AWS/Azure cloud experience a plus but not mandatory.
Data Engineer building and maintaining production-grade data pipelines on cloud data lake/lakehouse platforms. Day-to-day involves designing Spark/PySpark and SQL transformations, orchestrating pipelines, enforcing data governance, and supporting BI access via tools like Power BI and Tableau.
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