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Strong experience with Cloud Data Warehouses such as AWS Redshift, Snowflake, BigQuery, Databricks. You will work with a team of talented engineers to design, develop, and optimize data pipelines and data products that support our multi-tenant cloud-native data platform, leveraging various AWS services such as Lambda, EMR, S3, Glue and Redshift as well as helping drive our future toolset.
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Experience with Data Ops (VPCs, cluster management, permissions, Databricks configurations, Terraform) in Cloud Computing environments (e.g., AWS, Azure, GCP) and associated cloud data platforms, cloud data warehouse technologies (Snowflake/Redshift), and Advanced Analytical platforms (e.g., Dataiku and Databricks.
$218,700 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Architect and implement big data processing solutions using Databricks, leveraging Apache Spark for data transformation, ETL processes, and machine learning workflows. Proficiency in Databricks, Apache Spark, and related big data technologies.
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Advanced proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB) and modern data warehouse tools including Snowflake and DataBricks.
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Data Modeling for Snowflake and Databricks: Develop efficient data models for cloud database to facilitate scalable data storage, processing, and analytics. Cloud Platforms: Knowledge of cloud infrastructure and services, preferably Azure, as it relates to Snowflake and Databricks integration.
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Experience integrating Python applications with cloud services and data orchestration tools, such as AWS and Apache Airflow. We are looking for an experienced Senior Data Engineer to join our data platform team.
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Northern Trust is seeking a dynamic Sr. Lead cloud/data platform engineer to support key data platforms to include Snowflake, Databricks, and other data platforms.
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Rchitect and implement big data processing solutions using Databricks, leveraging Apache Spark for data transformation, ETL processes, and machine learning workflows. Implement data security, data governance, and compliance measures within the Databricks environment using Unity Catalog.
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Hands on experience with modern cloud data warehouse and engineering for one or more of the following cloud providers - GCP (Big Query, Vertex, Cognitive Services), Snowflake, Azure (Synapse, Dynamo, Cosmos, Azure ML, Power BI), AWS (Redshift, Sage maker), Tableau.
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Working knowledge of cloud-based data architectures using the Azure stack, Databricks, and/or Snowflake. Experience with Azure Databricks for an enterprise Data Lake.
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Develops highly scalable applications in AWS cloud using tools like Cloud Formation Templates, EC2, SWF, ELB, Lambda, S3, RDS/Dynamo DB and others. LifeRay 7.4 AWS JAVA LAMDAs React JS Okta Integration.
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Our CI/CD pipelines are implemented on top of Jenkins and deployed to AWS. Some of the other technologies we have in our ecosystem are Glue, S3, Lambdas, ALBs, Snowflake and Databricks. Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake.
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ETL Tools and Technologies: Talend, Informatica, SSIS, AWS Glue, Google Cloud Dataflow. Integration and APIs: Databricks APIs, integration with AWS services. The Lead Data Engineer will design, implement, and manage end-to-end data pipeline architectures, ensuring data quality and accuracy in the data warehouse.
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Adidevtechnologies.com) is a premier IT consulting firm delivering top-notch, Python Developer ,Machine Learning Engineer, iOS and Android, data scientist, and solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more.
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Expertise with Google Cloud Platform’s distributed Machine Learning, Data Science and Data Engineering tools (e.g. BigQuery ML, VertexAI, AutoML, Docker, Kubernetes, Kubeflow, Dataproc.
$140,000 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago
databricks big data engineer aws cloud jobs Title: data engineer Company: Advanced Tech Placement in Chicago, IL
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