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Lead a team building and optimizing large-scale data pipelines and warehouses using PySpark, AWS Glue, EMR, and Redshift to support analytics and reporting.
Lead the design and optimization of scalable data platforms on AWS, building ETL pipelines and warehouses using Redshift, Oracle PL/SQL, and PostgreSQL PL/pgSQL.
Builds Azure-based data pipelines with Databricks Spark and Data Factory, then surfaces insights via Power BI dashboards for analytics and reporting.
Design and build production pipelines to migrate a legacy Hadoop warehouse to a modern lakehouse using Spark, Iceberg, and Airflow for core analytics.
Builds and maintains Azure-based data pipelines and warehouses, writes PySpark jobs on Databricks, and delivers BI dashboards for analytics and reporting.
Design and build scalable ETL/ELT pipelines and data warehouses using BigQuery, Redshift, Synapse, Spark, Kafka, and dbt to power analytics and BI for enterprise clients.
Build and optimize Power BI dashboards and data models for a tax/financial services automation platform using DAX, SQL, and Azure Data Services.
Build and maintain scalable data warehouse solutions and pipelines using SQL, Snowflake, and Python to support logistics data needs.
Build and maintain scalable ETL/ELT pipelines using Python, Snowflake, Databricks, and Azure Data Factory to process and transform data for analytics and reporting.
Designs and maintains scalable data warehouse solutions and pipelines using SQL, data modeling, and Snowflake to ensure high data quality and performance.
Build and migrate data pipelines for a large-scale lakehouse platform, moving legacy Hadoop workloads to Spark 3/Iceberg and optimizing complex SQL queries.
Build and maintain scalable data pipelines and warehouses using SQL, Python, and cloud tools (AWS/GCP/Azure) to feed analytics and ML workloads.
Senior Software Engineer building AI-driven enterprise data solutions with C#, .NET, React, and cloud infrastructure for industries like analytics and healthcare.
Build and maintain scalable data pipelines and warehouses using Python, SQL, and cloud tools to feed analytics and ML systems.
Senior Data Engineer (AWS) - Manchester (Senior Data Engineer, Lead Data Engineer, Data Engineer, ETL, AWS, AWS Glue, AWS Lambda, AWS S3, AWS Redshift, Amazon EMR, Python, SQL, Pipeline Orchestration, PySpark, data…
Build and scale the data backbone for an e-commerce platform by designing ETL pipelines, optimizing warehouses, and implementing CI/CD for reliable data infrastructure.
Senior Data Engineer designs and builds scalable data pipelines, warehouses, and analytics models for enterprise clients using cloud platforms like Azure, AWS, or GCP.
Straive in Colombia is seeking a talented Data Engineer to join our team and help build next‑gen enterprise applications and reporting solutions. You will work on custom integrations, ETL pipelines, and reporting…
Builds and maintains scalable data pipelines using GCP, BigQuery, and Airflow to move and transform data for analytics.
Designs and implements SAP BW/4HANA data warehouses, integrating enterprise systems and building HANA models for analytics and reporting.
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