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Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Lead cloud data modernization by designing and implementing Azure/Snowflake/Databricks data platforms, building scalable ETL/ELT pipelines, ensuring data quality, security and governance, implementing CI/CD, mentoring engineers, and supporting healthcare data solutions and compliance.
Top Skills:
AirflowAzureAzure Data Factory (Adf)Azure Data Lake Storage Gen2 (Adls Gen2)Change Data Capture (Cdc)CptDatabricksDatabricks GenieEtl/EltFacetsFhirGitGithub ActionsGithub CopilotHcpcsHl7Icd-10LlmsLoincPrompt EngineeringPysparkPythonRag PipelinesSnowflakeSnowflake CortexSparkSQL ServerSsisVector StoresVisioX12 Edi (837/835/834)
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Lead cloud data modernization by designing and building cloud-native ETL/ELT pipelines, data warehouses, and lakehouse architectures using Azure, Snowflake, and Databricks. Ensure data quality, security, governance, CI/CD, and healthcare interoperability while mentoring engineers and collaborating with stakeholders to deliver scalable, HIPAA-compliant analytics platforms.
Top Skills:
AdlsApache AirflowAzureAzure Data Factory (Adf)Azure Data Lake Storage Gen2 (Adls Gen2)Azure OpenaiCi/CdCptDatabricksDatabricks GenieDatabricks Mosaic AiDockerEltETLFhirGitGithub ActionsHcpcsHl7Icd-10KafkaKubernetesLlmsLoincPysparkPythonRag PipelinesSnowflakeSnowflake CortexSparkSQL ServerSsisTerraformVector StoresVisioX12 Edi (837/835/834)
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Lead cloud data modernization efforts by designing, building, and migrating ETL/ELT pipelines, cloud data warehouses/lakehouses, and data governance. Implement Azure/Snowflake/Databricks solutions, CI/CD, performance tuning, CDC, data quality, and HIPAA-compliant healthcare data platforms while mentoring engineers and supporting full delivery lifecycle.
Top Skills:
Adls Gen2Ai-Enabled Data Engineering ToolsAirflowAWSAzureAzure Data Factory (Adf)Azure DevopsAzure Sql DatabaseCi/CdDatabricksDockerEtl/EltGitGithub ActionsGCPKubernetesMicrosoft FabricPythonRagSnowflakeSpark/PysparkSQL ServerSsisSynapse AnalyticsTerraformVector StoresVisio
Build and maintain large-scale data processing pipelines using Apache Spark (PySpark/Scala) and Python. Design ETL workflows, implement distributed data processing, use version control (Git), and work with cloud platforms (GCP/AWS/Azure).
Job Title: Data Engineer (PySpark / Scala / Python)
Location: Remote
Job Description:We are hiring a Data Engineer with strong hands-on experience in PySpark, Scala, and Python. You must have solid expertise in Apache Spark, as it will be the core technology used for building and managing large-scale data processing pipelines.
Experience with cloud platforms like Google Cloud Platform (GCP), Microsoft Azure, or AWS is a plus.
Required Skills:Strong hands-on experience with Apache Spark
Proficient in PySpark
Experience in Scala and Python
Knowledge of ETL processes and data pipeline design
Understanding of distributed data processing
Familiarity with version control tools like Git
Basic knowledge of cloud platforms (GCP, AWS, or Azure)
Experience with cloud-native data tools (e.g., Dataproc, Glue, EMR, BigQuery)
Familiarity with workflow/orchestration tools like Airflow or Cloud Composer
Experience with CI/CD for data engineering
Exposure to both structured and unstructured data
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