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Build and optimize end-to-end data pipelines using Python, PySpark, and Databricks for large-scale analytics projects.
Build and maintain data pipelines, ensure data quality, and integrate systems using Python, APIs, databases, and visualization tools like Power BI or Streamlit.
Data Engineer Intern builds Azure-based data pipelines and insights using Fabric, Synapse, and Power BI to help clients become data-driven.
Builds and optimizes PySpark/Python data pipelines and data-quality rules for a data lake, collaborating with data-office teams to ensure robust, scalable solutions.
Senior Data Engineer to design and implement end-to-end cloud data platforms using Microsoft Fabric and Azure Data, setting standards and reusable components.
Designs and builds high-performance data platforms on Google Cloud Platform for advanced analytics and digital transformation projects.
Builds and maintains secure, scalable data pipelines for Roche’s DataOne ecosystem, transforming security telemetry into AI-ready datasets using Python, Snowflake, and dbt.
Design and build ETL pipelines with Informatica tools to integrate and transform data for strategic decision-making in a government-focused tech company.
Lead the design and implementation of ETL/ELT pipelines and data platforms using Databricks, ensuring high data quality and alignment with business needs.
Build and maintain end-to-end data pipelines and BI dashboards for an ecommerce retailer using Databricks, PySpark, SQL and Power BI.
Designs and builds scalable Azure data pipelines using ADF and Databricks, ensuring data ingestion, processing, and governance meet enterprise standards.
Designs scalable data platforms and AI-driven data apps, ensuring robust observability and performance while collaborating with cross-functional teams.
Design and build large-scale data migrations, ETL/ELT pipelines, and data quality controls using SQL, Python, and AWS for a global team.
Senior data engineer building AI-ready pipelines and data products with semantic annotation, data contracts, and quality scoring using Microsoft Fabric, Snowflake, and vector/graph stores.
Design and implement scalable AI/ML models and data pipelines to solve enterprise challenges, ensuring performance and governance while mentoring junior engineers.
Designs and maintains data pipelines on GCP using BigQuery and Airflow to ensure reliable data flow for analytics and reporting.
Data Engineer designs and maintains scalable data infrastructure, ensuring data quality and availability using relational/non-relational databases and Big Data tools like Terraform and Docker.
Senior Data Engineer builds and maintains scalable data pipelines for analytics and ML at an ed-tech company, focusing on ingestion, quality, and real-time architectures.
Senior Data Engineer builds and maintains data pipelines to power AI-driven products, using Python and cloud databases while collaborating with teams.
Designs and optimizes cloud-based data pipelines using Azure Data Factory and Databricks to ensure analytics-ready data.
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