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Relevant certifications (e.g., Snowflake, Databricks, Certified Analytics Professional, AWS Certified Big Data - Specialty) are a plus. 5+ years in designing, solutioning the Databricks, Snowflake, PySpark and Big data tools including DataOps, Data engineering, Data Integration, Data Orchestration and Data Marketplace.
Full-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Experience in developing partner led sales in collaboration with data platform and tool vendorsIn-depth knowledge of big data technologies such as Hadoop, Spark, Kafka, and cloud platforms such as AWS, Azure, GCP, Snowflake, Databricks, etc.
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Compute Fabric : Build the resource management infrastructure powering all the big data and machine learning workloads on the Databricks platform in a robust, flexible, secure, and cloud-agnostic way.
$182,400 - $247,000 a yearFull-timeExpandApply NowActive JobUpdated 6+ months ago - UpvoteDownvoteShare Job
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At least 2 year of experience in data engineering using open-source technology stack along with cloud computing (AWS, Microsoft Azure, Google Cloud) Data Engineering experience focused on batch and real-time data pipelines development, Data processing/data transformation using ETL tools such as databricks.
$76,000 - $236,500 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Cloud Platforms: Knowledge of cloud infrastructure and services, preferably Azure, as it relates to Snowflake and Databricks integration. The Data Engineer will be responsible for architecting, designing, and implementing advanced analytics capabilities.
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Acquaintance with big data technologies like Hadoop, Spark, and Databricks is a plus. As a Sr. Software Engineer, you'll assume a multifaceted role spearheading the technical strategy of our software solutions with an emphasis on active development in Java and Python, alongside various other technologies, including but not limited to AWS, Snowflake, DBT, Docker and Terraform, to name a few.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Develop, deploy and maintain data processing pipelines using cloud technology such as AWS, Kubernetes, Airflow, Redshift, Databricks, EMR. Experience with data warehouse platforms such as Redshift, Databricks, Big Query, Snowflake.
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Expert in applying SCD types on S3 data lake using Databricks/Delta Lake. AWS/Kafka/Databricks or similar certifications. 6+ years' experience in engineering data pipelines using big data technologies (Spark, Flink etc.
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Architect cloud-based data pipeline solutions to meet stakeholder needs. 6+ years professional experience in the big data space. Deep familiarity with AWS Services (S3, Event Bridge, Kinesis, Glue, EMR, Lambda.
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Senior Data Engineer (Python, Kafka, Databricks, AWS) 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.
$165,100 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Deep knowledge of analytics technologies, modeling techniques, data warehousing concepts, cloud platforms (AWS preferred) and frameworks, and proven experience with data architecture.
Full-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Knowledge of AWS cloud services such as S3, EMR, Lambda, Glue, Sage Maker, Redshift & Athena and/or Snowflake. The Sr. Data Engineer is responsible in understanding and supporting the businesses through the design, development, and execution of Extract, Transform, and Load (ELT/ETL), data integration, and data analytics processes across the enterprise.
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Expertise in Google Cloud Data Services: Big Query, Data Proc, PubSub, Cloud Functions, Cloud Storage, Dataflow, Composer. Proficiency in using Cloud Platforms such as GCP/Azure/AWS. Knowledge of tools like Composer, Kafka, PySpark and SQL.
$92,700 - $185,400 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Design scalable patterns and architecture to support both batch and real-time data products & platform using big data technologies such as Hadoop, SQL Data Warehouse, EMR, Spark, DataBricks, Snowflake, Azure Synapse or other Cloud data warehousing technologies.
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Professional Experience: At least 5 years of experience in data engineering, with a strong focus on data integration and pipeline construction in cloud environments and enterprise data warehouses like Snowflake.
$134,500 - $215,000Full-timeExpandApply NowActive JobUpdated Today
databricks big data engineer aws cloud jobs Title: data engineer Company: Inspyr Solutions
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