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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 2 days ago - UpvoteDownvoteShare Job
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1+ years experience with GCP/Azure Cloud Big Data tools (PowerBI/DataLake/ Azure Databricks). Sr Data Engineer- Big Data/Python/Databricks. We are hiring highly enthusiastic Python/Databricks engineers to create, tune, maintain and build reporting for the Big Data platforms that drive their retail business.
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Would be preferred to have executed end to end implementation/migration of a Data Warehouse and Big Data (Hadoop) project from on prem to GCP (using Google BigQuery, DataFlow, DataProc etc.
$160,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Familiarity with Big Data technologies like Snowflake, Apache Beam/Spark/Flink, and Databricks. Embark on a leadership role within the Blue Yonder Data Science and Machine Learning team as a Staff Data Scientist, steering our machine learning platform that processes real-time data and powers deep learning models, generating billions of predictions daily.
$189,615 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Familiarity with big data technologies and platforms (Dask, BigQuery, Kafka, Spark Structured Streaming). Big Data Technologies, experience in managing and analyzing large-scale datasets.
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Sound experience in Google Cloud Data Services: Big Query, Data Proc, PubSub, Cloud Functions, Cloud Storage, Dataflow, Composer. Strong knowledge of large-scale search applications and building high volume data pipelines, preferably using PySpark on GCP and It’s native tools such as BigQuery, Airflow, Composer, DataProc, PUB/SUB, DataFlow and Vertex AI.
$236,900 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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6 years of experience must include: Ab initio, Informatica, Data Stage; Teradata, IBM DB2, Cognos, Oracle PL SQL; Autosys, Control-M, Erwin, XML, HTML, CSS, Unix Shell Scripts; Data Analysis, Data Processing, Code Optimization, Performance tuning; Automating Business Process and Models; Microsoft Visio, Web Services, Crystal Reports; and HP Quality Center, ALM, VSS, EME, XSD. At least 3 years must include: Hadoop, HDFS, Big Data, Hive, Spark.
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Working knowledge and experience with data platforms/storage/warehousing (e.g., Microsoft Fabric, Amazon AWS, Google Big Query, Snowflake, Domo, Microsoft Azure, Microsoft PowerAutomate.
$180,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Minimum 5 years of experience installing, configuring, administering, tuning, and troubleshooting any one or more Informatica products: Informatica Data Quality, Master Data Management (MDM), Big Data Management (BDM), Big Data Quality (BDQ), Enterprise Data Catalog (EDC), or AXON.
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Experience working in GCP based Big Data deployments (Batch/Real-Time) leveraging Big Query, Big Table, Google Cloud Storage, PubSub, Data Fusion, Dataflow, Dataproc, Airflow.
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Design and deploy large-scale data applications using Cloud, Big Data, Azure Data Factory (ADF), Azure Data Bricks, Python, Spark, SQL and NoSQL solutions. NET; C#; HTML; REST APIs; CSS; JavaScript; jQuery; Angular; SharePoint; Python; Shell Scripts; SQL Server; Oracle; NoSQL DBs; Cloud Technologies such as Azure and AWS; Git; Lucid Chart; Postman; Jenkins; Azure DevOps; Kubernetes; and Docker.
$223,200 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Familiarity with cloud-based data platforms (e.g., AWS, Azure) and related services (e.g., S3, Redshift, Big Query) is desirable. The Data Engineer Tech Lead will play a crucial role in designing, developing, and maintaining the ETL processes and systems that facilitate data integration and transformation within the organization.
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Utilize Databricks for big data processing and analytics tasks, leveraging its capabilities to handle large datasets and perform advanced analytics. Experience with Databricks and big data technologies, with the ability to process and analyze large datasets efficiently.
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Work with the Database Engineer and Developer to carry out the development of the data warehouse based on the requirements using PostgreSQL, SQL Server Integration Services, SQL Server Management Studio, Snowflake, Python, PySpark, Azure Data Factory and Azure Data Bricks.
$200,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Functional/UI/ Selenium - BDD/Cucumber, Specflow, Data Validation/Kafka, Big Data, also automation experience using Cypress. Strong experience of AWS data services including Redshift, Glue, Kinesis, Kafka (MSK) and EMR/ Spark, Sage Maker etc.
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big data jobs Title: data administrator Company: Intuit in Dallas, TX
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