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Experience with Spark/Databricks, Jenkins, GitHub Actions, Docker, Kubernetes, and AWS cloud services. Developing and deploying Spark/Databricks jobs with enterprise tool stack including Jenkins, GitHub Actions.
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Knowledge of modern data stacks like Airflow, Databricks, Google BigQuery, dbt, Fivetran. Previous experience building data platforms on the cloud using Databricks or Snowflake. Knowledge of modern data stacks like Airflow, Databricks, Google BigQuery, dbt, Fivetran.
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LLM, RAG, Data engineer, Python, Pyspark, Machine learning, Gen AI, AI/ML, Vector database, Databricks, Snowflake, Education: Bachelor’s degree in engineering, Computer Science or a related field; Master’s degree is a plus.
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Use of tools like Apache Airflow, ADF, or Databricks to orchestrate and schedule data workflows. Experience in designing and implementing ETL processes using Databricks notebooks for efficient data extraction, transformation, and loading.
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These include but not limited to Python/Pyspark, SAS, CDC cloud environments (Databricks, SAS Viya, Azure Dev Ops etc. Proven experience as a Data Scientist, with a focus on Azure Databricks.
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In-depth knowledge of the Databricks Unified Analytics Platform and its features for collaborative big data analytics. Optimization of Spark jobs and Databricks clusters for better performance.
$90 - $100 an hourExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Should have in depth knowledge on different ETL & BI tools like Snowflake, Databricks, PySpark, Azure Cloud, ADF, Azure Synapse Analytics & Azure Hub Events. · Should have executed at least 2 Cloud based programs including Cloud Data Warehouses like Snowflake and Databricks on Azure.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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You have experience with Databricks pipeline automation, AWS EMR, AWS S3 service, AWS Services Snowflake, Spark, Docker. You have 8+ years of industry experience and proficiency in building distributed data pipelines for both batch and real-time (experience with Databricks, Spark, Hive, Iceberg, Kafka, Snowflake is helpful, but not strictly required.
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We are seeking an experienced Solution Architect to lead the migration of data marts from Oracle Exadata to Azure Databricks using Informatica IDMC. Lead the migration process from Oracle Exadata to Azure Databricks using Informatica IDMC.
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Design and develop end-to-end analytics solutions using Microsoft Azure technologies, including SQL Server Management Studio (SSMS)/ Azure Data Studio, Azure Data Factory (ADF), Databricks, and Power BI.
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Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark. Experience engineering big-data solutions using technologies like EMR, S3, Spark, Databricks.
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Experience in designing solutions for large data warehouses and databases (Azure, Databricks and/or Snowflake) Design and build solutions powered by DBT models and integrate with Databricks.
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Total of five (5) years of experience, of which three (3) years of experience involves working with AWS services such as EC2, S3, RDS, CloudFormation, Lambda, and IAM, and one (1) year working with Databricks.
$100,000 - $115,000 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Experience with Big Data platforms such as Databricks or Apache Spark. Experience with the Azure Ecosystem (Azure Data Lake, Azure Data Factory, Azure Databricks, Azure Machine Learning (AML), Azure Cognitive Services, Azure Storage.
$82,000 - $236,500 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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We are seeking an experienced Solution Architect to lead the migration of data marts from Oracle Exadata to Azure Databricks using Informatica IDMC. As a Solution Architect, you will play a critical role in designing and implementing the migration strategy, ensuring seamless data transfer, and optimizing performance in the new environment.
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