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Build and maintain AWS-native data pipelines and warehouses for telecom analytics using S3, Redshift, Glue, and Python/SQL.
Build and migrate ETL/ELT pipelines on Databricks and AWS for a global fund-services provider, using Delta Lake, Spark, and AWS Glue.
Designs and builds scalable cloud data pipelines, warehouses, and analytics platforms using Python, SQL, Spark, and cloud tools like BigQuery and Snowflake, with optional Gen AI integration.
Senior Data Engineer builds and maintains HIPAA-compliant data pipelines and models for a healthcare AI product using Python, Dagster, DBT, PostgreSQL, and AWS services.
Lead a team of data engineers to design, build, and optimize cloud-based data pipelines and warehouses using Python, SQL, Spark, and cloud platforms like Azure or AWS.
Build and optimize Snowflake-based ETL/ELT pipelines, tune queries, and maintain cloud data platforms for enterprise clients in a managed-services setting.
Lead a team building and maintaining scalable data pipelines for analytics using ETL/ELT tools, Airflow, DBT, and Snowflake/Redshift.
Designs and maintains scalable data pipelines and warehouses (e.g., Fabric, Databricks) to collect, store, and analyze data for analytics and ML, using SQL, Python, and cloud platforms.
Design and build Snowflake-based data pipelines and governance, using Snowpark/SQL to ingest, transform, and expose data while enabling GenAI features with Cortex AI.
Design and build serverless data pipelines and cloud infrastructures using Python, AWS, and Infrastructure as Code for enterprise-scale data solutions.
Build and maintain scalable data pipelines and cloud data warehouses using Azure Data Factory, Snowflake, dbt, SQL, and Python to power marketing analytics and enterprise reporting.
Builds and maintains scalable ETL pipelines on Databricks and AWS to turn raw data into clean, analytics-ready datasets for reporting and business insights.
Design and maintain scalable data pipelines and warehouses, ingesting data from multiple sources and ensuring quality for BI and analytics using Spark, Airflow, and dbt.
Builds and maintains ELT/ETL pipelines to transform retail transactional data into governed datasets for analytics, reporting, and forecasting.
Builds and maintains enterprise data pipelines and analytics platforms using SQL, ETL/ELT, and cloud tools like Microsoft Fabric to support reporting and AI initiatives.
Designs and maintains Microsoft Fabric data pipelines, OneLake environments, and analytics-ready data using Azure services, PySpark, and T-SQL.
Design and build scalable data pipelines and Lakehouse infrastructure using Azure and Databricks, enabling AI/ML and analytics for financial, legal, and government clients.
Senior Data Engineer designs and builds scalable data pipelines, warehouses, and lakehouses using ETL/ELT tools to feed analytics and business decisions.
Build and maintain ETL pipelines, data models, and dashboards to turn raw business data into insights and reports using Python, SQL, and cloud platforms.
Build and maintain cloud-based data pipelines for clinical datasets, automating ETL/ELT workflows and ensuring compliant delivery of data products using SQL, Python, and cloud platforms.
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