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Senior Databricks Data Engineer responsible for migrating enterprise data platform from Informatica to Azure Databricks, developing data pipelines using PySpark and SQL, and implementing Delta Lake architecture with Medallion principles.
Design, build, and support scalable data pipelines and integration solutions using Azure Databricks, Spark/PySpark, and Delta Lake for a major bank's analytics, reporting, and risk management needs.
Lead Data Engineer architecting scalable data pipelines and ELT processes using Databricks, Apache Spark, and Delta Lake, while mentoring a team of engineers at a data-focused technology services company.
Build and maintain scalable cloud data platforms using Azure and Databricks, developing ETL/ELT pipelines with SQL and Python/PySpark in a senior individual contributor role.
Senior Data Engineer leading enterprise-scale data engineering initiatives, designing data warehouses and data lakes on AWS, and building ETL/ELT pipelines with PySpark, Apache Airflow, and SQL.
Design, build, and maintain scalable cloud-based data pipelines using Databricks, Apache Spark, Python, and SQL for Energy Trading & Risk Management clients.
Senior Data Engineer leading the re-engineering and validation of an existing Azure Synapse enterprise data platform and driving its migration to Databricks, focused on reverse-engineering complex pipelines, ensuring data governance, and implementing lakehouse architectures.
AWS Data Engineer building scalable cloud-native data platforms, designing ETL pipelines with AWS Glue/PySpark, orchestrating workflows via Step Functions and EventBridge, and automating infrastructure with Terraform on S3-based Data Lakes.
Lead/Senior Data Engineer designing and delivering scalable data pipelines and platforms using Python, Scala, Spark, and SQL, while mentoring a team and collaborating cross-functionally.
Senior Data Engineer on a 6-month contract building and maintaining automated ETL/ELT data pipelines for data governance and analytics, primarily using Azure Databricks, Azure Data Lake, and Microsoft Purview.
Senior Data Engineer on a 6-month contract building Azure data pipelines and AI solutions using Data Factory, Data Lake, Fabric, Databricks/PySpark, and integrating Azure OpenAI/RAG/LLM capabilities with Power BI reporting.
The Senior Data Engineer will design and optimize scalable data pipelines and cloud-based analytics solutions using the Azure ecosystem. The role involves collaborating in an Agile environment to build robust data integration, transformation, and reporting systems.
Senior Data Engineer designing, developing, and maintaining scalable ETL/ELT data pipelines and cloud-based data integration solutions using AWS or Azure, SQL, and Python.
Design, build, and support scalable data pipelines and integration solutions for a major bank using Databricks, Spark/PySpark, SQL, and Azure data services to enable analytics and reporting.
Senior Data Engineer building scalable ETL pipelines and data platforms using Apache Spark/PySpark on AWS services like Glue, S3, and Athena for Cloudwick's Amorphic Data Cloud.
Senior Data Engineer designing and implementing scalable data warehouse and data engineering solutions, managing data schemas, SQL tuning, and code reviews using Azure, Snowflake, Kafka, DBT, and Python.
Senior Data Engineer designing, building, and operating data pipelines and a lakehouse platform on Databricks and Microsoft Fabric using Spark, Python, and SQL.
Data Engineer building and optimizing Snowflake-based data pipelines and ETL/ELT workflows for banking/financial services clients. Core tech: Snowflake, SQL, Python, and cloud platforms (AWS/Azure/GCP).
Senior/Lead Data Engineer designing and developing scalable ETL data pipelines using Azure Databricks, Data Factory, Data Lake, Synapse, and Azure SQL DB, with SQL, Python, and PySpark.
Data Engineer designing and maintaining Spark/PySpark ETL pipelines on AWS (S3, Glue, Redshift, Athena), building BI dashboards, and optimizing cloud costs and query performance.
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