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Senior Data Engineer - Scalable Pipelines & Cloud Analytics
Designs and maintains scalable cloud data pipelines and warehouses, enabling analytics and ML with tools like Spark, Airflow, and Snowflake.
Data Engineer (AU Global Education, Hybrid)
Build and maintain scalable data pipelines and AI-powered solutions using Python, AWS, and LLMs for an edtech company.
Data Engineer {Python & SQL}
Builds and maintains scalable data pipelines and infrastructure using Python, SQL, and cloud services to support analytics and machine learning workflows.
Data Engineer Team Lead
Leads a team that builds and maintains scalable data pipelines and warehouses (Snowflake, Redshift) to feed analytics and reporting for a Philippine bank.
Lead Azure Data Engineer
Lead the design and optimization of scalable Azure data pipelines using Databricks, PySpark, and ADF, while mentoring engineers and collaborating with cross-functional teams.
Senior Data Engineer Bilingual
Designs and maintains scalable data pipelines and cloud-based data solutions to support analytics, reporting, and machine learning initiatives using Python, SQL, and cloud platforms like AWS/Azure/GCP.
Senior Data Engineer (MSP)
Build and maintain cloud-native AWS data platforms, ETL/ELT pipelines, and data lakes to support analytics and BI use cases.
Data Engineer Team Lead
Lead a team that builds and maintains scalable data pipelines and warehouses for a Philippine bank, using Python, SQL, Snowflake, DBT, and Airflow to ensure clean, reliable data for analytics and decision-making.
Data Engineer - Mexico
Design and build scalable data platforms on AWS, Azure, and GCP, using cloud warehouses, Spark, Kafka, and Python/Java to enable AI-driven analytics for enterprise clients.
Data Engineer (AWS) | Work From Home
Build and maintain AWS-native data pipelines and warehouses for telecom analytics using S3, Redshift, Glue, and Python/SQL.
Data Engineer (ETL,SQL,Python)
Builds and maintains scalable data pipelines and ETL processes using Python, SQL, and cloud tools to transform raw data for analytics and machine learning.
Senior Data Engineer
Designs and builds scalable cloud data pipelines, warehouses, and analytics platforms using Python, SQL, Spark, and cloud tools like BigQuery and Snowflake, with optional Gen AI integration.
Lead Data Engineer: Scalable Pipelines & Data Innovation
Lead a team building and maintaining scalable data pipelines for analytics using ETL/ELT tools, Airflow, DBT, and Snowflake/Redshift.
PySpark Data Engineer
Build and maintain scalable PySpark pipelines and ETL workflows to process large datasets, ensuring data quality and performance for analytics and reporting.
Data Engineer Lead
Lead the end-to-end data architecture—ingestion, processing, modeling, and consumption—using Python, PySpark, Airflow, and AWS services to enable reliable reporting and LLM-driven analytics at scale.
Senior Data Engineer (Python & Snowflake)
Design and maintain data pipelines and ETL processes using Python, Snowflake, and SQL to build scalable enterprise data solutions.
Data Engineer (pooling)
Design and maintain scalable data pipelines and ETL/ELT processes using SQL, Spark, Airflow, and Python/Java/Scala to integrate and optimize data for analytics.
Data Engineer
Designs and maintains scalable data pipelines and warehouses, transforming raw data into insights for decision-making using Python, SQL, and cloud platforms.
Data Engineer
Builds and maintains data pipelines and real-time apps on AWS using Spark, Presto, and EMR; designs data platforms and integrates BI tools like Tableau and PowerBI.
Data Engineering Specialist
Design and build cloud-based data pipelines and AI analytics platforms for clients, using tools like Snowflake, AWS Redshift, and Apache Airflow to ingest, process, and transform data at scale.