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Collaborate to deliver solutions utilizing leading big data platforms and cloud technologies (e.g., Azure, Databricks, GCP, Cloudera, etc. Must have 3 years of experience with a minimum of one or a combination of AI/ML Engineer, Cloud data engineer, or a Data Architect or similar role over with minimum of 1 completed projects.
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The Data Capture team for the Data organization within the DE&ET organization is in search of a Lead Software Engineer. Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query.
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Big data technologies/services expertise (Delta Lake, Lakehouse, Medallion, Spark, Python, Kinesis, S3, Glue, EMR, Airflow, Step Functions, Redshift, Athena, Lambda, ML) AWS preferred. The role requires good knowledge of big data technologies, data warehousing, infrastructure, IaC, CI/CD and their integration.
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Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Google cloud big data’ technologies.
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The lead data engineer will be responsible for the end-to-end design, build, monitoring and support of Big Data architecture including platform and applications. Strong Experience with big data tools and data processing: Hadoop, Spark, Scala, Kafka, ShellYarn cluster, Java, etc.
Full-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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We are looking for a Data Engineer with advanced SQL skills. Experience in Golang, Docker, Postgres, Mesos, Git, AWS cloud technologies, Agile methodologies and DevOps is a big plus.
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Expertise with big data technologies such as Apache Spark, Databricks, Hadoop, or Hive. A key focus will be contributing to a cutting-edge big data and analytics platform for the Department of Veterans Affairs.
Full-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Skills: azure data factory (adf),azure data engineering,python,big data technologies,databricks,azure,pyspark,sql. The ideal candidate will be proficient in tools and technologies like Pyspark, Azure Data Factory (ADF), Databricks, big data technologies, SQL, and Python.
$70,000 a yearFull-timeExpandApply NowActive JobUpdated 6+ months ago - UpvoteDownvoteShare Job
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Knowledge of some of the main components of Azure Analytics: Azure Data Processing Technologies (DataFactory, Databricks), Azure Big Data Technologies, Databricks, Synapse. The Sr. Azure Data Engineer will lead the creation of high-value data driven solutions leveraging Cyclotron’s proven implementation methodology and solutions for enterprise projects, as well as contributing to technical pre-sales activities as required.
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Experience with Big-Data technology such as Spark, Hadoop, Kafka is nice to have. Create scripts, templates and orchestration for automatic provisioning and monitoring of GCP Cloud resources, supporting Corelogic Smart Data Platform/Enterprise Data Platform.
$150,000 a yearFull-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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Data Fabric - Big Data Processing - Apache Spark. 10 to 15 years of proven experience in modern cloud data engineering, broader data landscape experience and exposure and solid software engineering experience.
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Experience in developing application integration using SOAP/REST APIs and big data technologies such as Apache Spark. The Lead Data Engineer is the senior software engineer in the Business Intelligence and Data Warehousing team.
Full-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Proficiency in ETL optimization, designing, coding, and tuning big data processes using Apache Spark or similar technologies. We are accomplishing this vision by bringing to bear Big Data technologies like Elastic Map Reduce (EMR) in addition to data warehouse technologies like Spectrum to build a data platform capable of scaling with the ever-increasing volume of data produced by AWS services.
$205,600 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Big Data Tools: Familiarity with big data processing frameworks (e.g., Apache Spark, Hadoop) Experience with Data Processing: Hands-on experience with Data bricks (6+ Months) related to data cleaning, preprocessing, and feature engineering.
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Knowledge of big data platforms like Snowflake, DBT, AWS Redshift, Postgres, MongoDB, and Hadoop. The Data Engineer will be responsible for architecting, designing, and implementing advanced analytics capabilities.
Full-timeExpandApply NowActive JobUpdated 17 days ago
big data jobs Title: data engineer in Dallas, PR, France
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