Senior Data Engineer

Eclaro Business Solutions, Inc; Metro Manila; Remote; PHP 900,000 - 1,300,000; Full time

Job summary

ECLARO is seeking a Senior Data Engineer to design, build, and optimize scalable data pipelines in a cloud-native environment. You will own ingestion, transformation, validation, and delivery of structured and unstructured data, enabling analytics and AI initiatives across the enterprise.

You’ll collaborate with analytics, platform, and AI teams to ensure high-quality, governed data, while maintaining robust ETL/ELT workflows and APIs for internal applications.

Qualifications

• Bachelor's degree or higher in a relevant field.
• 5+ years in data engineering with end-to-end ETL/ELT ownership.
• Experience validating and transforming data for analytics and ML workloads.
• Strong Python programming and data engineering libraries.

Responsibilities

• Build and maintain scalable ETL/ELT pipelines for diverse data sources.
• Design data models and APIs to expose trusted data for analytics.
• Ensure data quality, governance, and lineage across pipelines.
• Collaborate with analytics, platform, and AI teams to integrate data sources.

Skills

Python

ETL/ELT pipeline

SQL

Pandas

PySpark

Airflow

Education

Bachelor's degree in Computer Science/Engineering/Data Science

Tools

Pandas

SQLAlchemy

PySpark

Airflow

AWS CDK

Sagemaker

Bedrock

Job description

Role Title: Senior Data Engineer

Set-up: Remote

Schedule: Night shift

ECLARO: A quick Summary

ECLARO is an award-winning professional services firm headquartered in New York City and operating in the U.S., Canada, UK, Ireland, Australia and the Philippines. We are dedicated to a singular purpose: providing the Right People to meet every client's needs and solve business challenges through strategic staffing, permanent placement, custom outsourcing & offshoring. Utilizing our proprietary TRINIT-E® Service Maturity Model, we help clients implement programs to promote innovation, automation and process improvement.

Position Summary

The Data Engineer, will design, build, and optimize scalable data pipelines and services that power analytics, AI/ML, and internal applications across the enterprise. This role owns the ingestion, transformation, validation, and delivery of structured, semi-structured, and unstructured data in a cloud-native environment.

The ideal candidate brings strong experience building robust ETL/ELT workflows, designing scalable data models, and exposing trusted data through APIs and reusable data services. This role will partner closely with analytics, application, platform, and AI teams to ensure data is high-quality, governed, performant, and ready for downstream use.

What You'll Do

• Build robust ETL/ELT workflows that handle structured, semi-structured, and unstructured data sources at scale.

• Design data models and ontologies that maximize analytical value and support graph-oriented and downstream application use cases.

• Implement data validation, cleansing, reconciliation, and integrity checks across ingestion processes to ensure consistent, trustworthy data.

• Develop APIs and data services that expose graph and enterprise data to internal applications and platforms.

• Optimize queries and data workflows for performance, scalability, and resilience.

• Collaborate with subject matter experts and technical stakeholders to identify, evaluate, and integrate new data sources.

• Maintain detailed documentation for pipelines, data models, metadata, lineage, and integration processes.

• Monitor and tune ETL/ELT processes for efficiency, resilience, and scalability, including alerting for data quality issues.

Qualifications

• Bachelor's degree or higher in Computer Science, Computer Engineering, Data Science, or a related field.

• 5+ years of professional experience in data engineering, including end-to-end ownership of ETL/ELT pipeline design, development, deployment, and monitoring.

• Practical experience implementing data validation, cleansing, transformation, and reconciliation processes to ensure high-quality, trustworthy datasets.

• Strong programming skills in Python and experience with common data engineering libraries and frameworks such as Pandas, SQLAlchemy, PySpark, and/or Airflow.

• Deep experience with relational (SQL) and NoSQL databases, data warehouse platforms, and schema/model design.

• Experience with AWS (CDK, Sagemaker, Lakeformation, Bedrock agent core, Bedrock, Airflow etc.)

• Experience with data governance, metadata management, and lineage tracking

About us

ECLARO is an award-winning professional services firm headquartered in New York City and operating in the U.S., Canada, UK, Ireland, Australia and the Philippines. We are dedicated to a singular purpose: providing the Right People to meet every client's needs and solve business challenges through strategic staffing, permanent placement, custom outsourcing & offshoring. Utilizing our proprietary TRINIT-E® Service Maturity Model, we help clients implement programs to promote innovation, automation and process improvement.