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Backend Developer (C# - SSIS) - (hybrid, 36-40k) - SQUAD Technology Solutions
Build and maintain backend services in C#/.NET for an international client, using SSIS/ETL pipelines and SQL Server, with occasional Angular work.
Data Engineering Intern
Build and maintain simple data pipelines, validate data quality, and create basic reports using SQL, Python, Azure Data Lake, and Databricks for a fintech platform.
Data Engineering Manager (Databricks)
Designs and maintains semantic data layers and KPI models using Databricks to enable governed executive dashboards and AI-driven analytics, collaborating with business teams to define and implement data-driven metrics and pipelines.
Data Engineering Manager (Databricks)
Designs and maintains semantic data layers and KPI models using Databricks to enable governed executive dashboards and AI-driven analytics, integrating multi-source enterprise data while ensuring quality, security, and governance.
Data Analytics Engineer
Build and maintain AI agents, data pipelines, and predictive models for easyJet’s travel-focused data products while mentoring analytics and data teams.
Data Engineering Manager (Databricks)
Lead a team to design and maintain Databricks-based semantic layers and KPI models that power AI-driven analytics and executive scorecards, collaborating with business teams to translate requirements into governed data assets.
Senior Manager Data Development
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Lead Data/Analytics Engineer
Lead Data/Analytics Engineer owning event instrumentation pipelines (Segment, Amplitude), building data models and metrics layers (Snowflake, dbt, Prefect), and partnering with product managers on experiment design and analysis at a veterinary telemedicine company.
Data Engineer - GCP
Design and build scalable GCP data pipelines using PySpark, BigQuery, Kafka, and Airflow to process batch and real-time data for analytics and BI.
Data Engineer
The Data Engineer will design and maintain scalable ETL/ELT pipelines and data models to support cloud cost visibility and performance insights. The role involves using SQL, Python, and cloud-native tools like AWS and Snowflake to build actionable data systems for cross-functional teams.
Backend Engineer Internship at Capital One
This internship role involves developing high-volume APIs and ETL data pipelines for core backend systems using Java, TypeScript, and AWS. Interns will collaborate with engineering teams to automate testing and support CI/CD processes within an Agile environment.
Databricks Data Engineer
The Databricks Data Engineer will design, build, and maintain data pipelines and architectures using the Databricks platform and cloud services. This role involves collaborating with cross-functional teams to deliver scalable data solutions for various clients.
Senior Data Engineer (Python and Snowflake)
Senior Data Engineer building enterprise-scale data platforms using Python, Snowflake, and SQL, focusing on ETL/ELT pipelines, data modeling, performance tuning, and governance.
Azure Data Architect: Cloud-Native Data Leader
Designs cloud-native data architectures on Azure to enable analytics and ML, focusing on scalable data lakes and ETL/ELT pipelines with a focus on continuous improvement (Kaizen).
Azure Data Engineer: Bridge Data Science and Engineering
Designs and builds Azure-based data pipelines to ingest, clean, and load data for analytics and ML, collaborating with data scientists and architects.
GCP Data Engineer/Data Architect
The Data Architect designs and builds large-scale batch and real-time data pipelines on the Google Cloud Platform. The role involves managing data processing systems, ensuring security and scalability, and collaborating with business partners to drive data-driven insights.