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Administer and maintain information governance systems (primarily iManage) at a law firm, ensuring data integrity, processing data with SQL and Python, and supporting system integrations and reporting.
Builds and maintains data pipelines using Databricks, focusing on ETL/ELT processes, data quality, and cloud-based data processing with Delta Lake, PySpark, and Unity Catalog.
Якщо ти мрієш працювати в індустрії, де драйв, азарт та інновації йдуть пліч-о-пліч — приєднуйся до нас і допоможи нам творити магію! Що потрібно від тебе: 5+ років досвіду на позиції DevOps Engineer Управління хмарною…
Build and maintain Mettler-Toledo’s central data platform using Databricks, Snowflake, and Python to power analytics and AI across the company.
As a recruitment company, DCG understands that every business is powered by experienced professionals. Our management style and partnership approach enable us to meet your needs and provide continuous support. Due to…
Location Our Senior Technical Content Writer – Data Platforms will join our global Marketing team. This remote role is ideally based in the United States, with overlap with US business hours (ET–PT) to support…
Designs and governs Snowflake-based data warehouses for a multinational, applying Inmon or Kimball methodologies.
Job Title: Snowflake Data Architect Salary: Paying between £85-£110,000 Location: Wembley London - 5 days on-site Our client, a well-established and diversified multinational organisation, is seeking a Snowflake / Data…
Designs and maintains scalable Snowflake/GCP data pipelines, migrates enterprise data platforms, and builds governed data ecosystems with metadata-driven architectures. Focuses on documentation, data modeling, and enabling data products for analytics and reporting.
Top Skills' Details Minimum Knowledge, Skills, and Abilities Needed to Perform Essential Functions of the Job: -10+ years IT experience. -7+ years recent MS SQL Server DBA experience on W2K servers -Advanced SQL…
Overview We are seeking a highly technical Business Systems Analyst with a strong background in data quality, SQL, and enterprise data environments. This role serves as the bridge between business and technical teams,…
The Senior Power BI Developer will design and develop dashboards, reports, and ad-hoc queries for enterprise-level banking systems. The role requires strong SQL and data warehousing expertise alongside business analyst skills to collaborate effectively with users.
Overview This is a remote role that may be hired in several markets across the United States. This position supports initiatives within the Bank that improve enterprise data quality, governance, and analytics. Drives…
Build and maintain dbt data models in Snowflake to power analytics and AI across government ERP products, owning pipelines from ingestion to CI/CD deployment.
Data Engineer builds and maintains SAP-based data warehouses and BI solutions using BW/BW4HANA, SAC, Datasphere and ABAP.
Designs and manages Azure cloud services for Bayer’s global analytics & AI platform, collaborating with data/data science teams to implement scalable solutions using IaC, CI/CD, and Azure’s data/AI tools.
Build and maintain AI-powered data pipelines for healthcare AI systems, ensuring data quality, privacy, and scalability using Python, Dagster, BigQuery, and GCP.
The Data Analyst & Integrator will support the City of Toronto's Parks & Recreation division by ingesting, cleaning, and analyzing large datasets to provide actionable insights. The role involves building dashboards, automating data pipelines, and using statistical tools like Python, SQL, and R to inform strategic decision-making.
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.
The Senior GCP Data Engineer will design and optimize large-scale data platforms and cloud-native solutions using PySpark, Python, BigQuery, and Kafka. The role focuses on building scalable ETL/ELT pipelines and real-time data processing frameworks within an enterprise environment.
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