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Junior Data Engineer building and maintaining ETL/ELT pipelines, working with SQL transformations, Python scripting, and cloud data platforms in a high-volume fintech environment.
Design and maintain scalable cloud data pipelines, build ETL/ELT processes, model data, and ensure data quality while collaborating with data science and software teams using Python, SQL, and AWS/Azure.
Design, build, and optimize data pipelines ingesting from 40+ payment networks and internal systems using Python, SQL, and Airflow for a financial data ecosystem.
The Senior Data Engineer will build and maintain robust ETL/ELT pipelines to process data from payment networks and internal systems using Python, SQL, and orchestration tools like Airflow. The role involves collaborating with stakeholders to ensure data accuracy, security, and performance optimization.
The Azure Data Engineer will design and implement data pipelines for data lakes to support analytics and machine learning models. The role involves collaborating with architects and analysts while leading mid-sized teams using Azure and Spark/Databricks technologies.
The Azure Data Engineer will support Big Data projects by designing data pipelines, performing ETL/ELT processes, and migrating workloads to the cloud. The role requires expertise in Azure services, Spark, and programming languages like Python and Java to prepare data for analytics and machine learning.
The Data Engineer will design and implement scalable batch and streaming data pipelines on Google Cloud Platform. The role involves developing data-driven solutions using services like BigQuery, Dataflow, and Airflow to support enterprise-level data ingestion and processing.
Junior Data Engineer designing and developing scalable ETL/ELT pipelines and managing relational and NoSQL databases for enterprise projects at an Italian consulting firm.
Design, build, and optimize scalable data platforms on GCP (BigQuery, Cloud Storage, Cloud Composer) and dbt, defining ELT pipeline architecture to deliver reliable data across the organization.
The Senior Data Engineer will design and maintain data pipelines and analytical models within the Microsoft Azure ecosystem. The role focuses on building scalable data solutions using Azure Databricks, Data Factory, and advanced SQL and Python programming.
Senior Data Engineer designing and maintaining scalable data pipelines on Azure (Databricks, Data Factory) using Python/Spark, collaborating with Data Science and Analytics teams.
Keepler is seeking a Data Engineer to implement data models, orchestration flows, and governance strategies using PySpark and Palantir Foundry. This is an on-site role focused on building data pipelines and ensuring data security and quality for clients.
The Data Engineer will design, develop, and maintain data solutions within the Microsoft Azure ecosystem, focusing on ETL/ELT pipelines and scalable data architectures using tools like Databricks and Synapse.
The Data Engineer will design and build scalable data pipelines and cloud-based data solutions on AWS to support advanced analytics and business use cases. The role involves modeling data, integrating various sources, and collaborating with cross-functional teams to ensure data quality and performance.
The Azure Data Platform Engineer will design and maintain a secure, scalable data lake and reporting platform using Azure Data Factory and ADLS Gen2. The role focuses on integrating SAP data to support global financial reporting while ensuring data governance and performance optimization.
The Senior Data Engineer will architect and scale a modern data platform by designing ETL/ELT pipelines and implementing DataOps practices. The role involves orchestrating data flows using tools like Airflow, Prefect, or Dagster and optimizing Snowflake schemas.
The Senior Data Engineer will architect and build enterprise-scale data ecosystems using cloud technologies like GCP, Python, SQL, and dbt to support satellite imaging products. This hybrid role requires technical leadership and experience with geospatial datasets to deliver solutions for defense and intelligence customers.
Data Engineer on the Azure cloud team at NTT Data Argentina, designing data ingestion and processing solutions and collaborating with business areas to deliver results.
AWS Data Engineer designing and maintaining large-scale data architectures (Data Lakes, Data Warehouses, Lakehouses) on native AWS services, building automated ETL/ELT pipelines with Python/Scala/SQL, Spark, and AWS data tools like Glue, Redshift, and S3.
Data Engineer designing and building ETL/ELT processes on Azure using SQL and Python for a global IT services firm.
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