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Good knowledge and proven practical experience in migrating relational databases from on-prem to cloud or to build cloud-based data lake using either Big Data / Azure Synapse / Databricks / Snowflake.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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We are seeking an experienced Big Data Developer with a strong technical background in Azure Data Factory and Databricks, and the ability to engage directly with clients for requirement gathering, solution design and implementation.
$130,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Senior Experience in designing, building and operationalizing large-scale enterprise data solutions and applications using one or more of GCP data and analytics services in combination with 3rd parties - Spark, Hive, Databrick, Cloud DataProc, Cloud Dataflow, Apache Beam composer, Big Table, Cloud BigQuery, Cloud PubSub, Cloud storage Cloud Functions & Github.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Work with diverse data sources, including relational databases (Oracle, SQL Server, MySQL, Postgres, Snowflake), big data platforms (Hadoop, Parquet files, BigQuery, Big Lake managed Iceberg), and streaming data (Kafka, GCP Dataflow/Proc.
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Experience working with diverse data sources, including relational databases (Oracle, SQL Server, MySQL, Postgres, Snowflake), big data platforms (Hadoop, Parquet files, BigQuery, Big Lake managed Iceberg), and streaming data (Kafka, GCP Dataflow/Proc.
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Years of work experience as a Big Data Engineer. Extract, Transform and Load data from multiple sources and multiple formats using Big Data Technologies. Development, enhancement, and support of data ingestion jobs from various source systems following existing design patterns using GCP Services such as Apache Spark, Dataproc, Dataflow, BigQuery, Airflow, etc.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Possess deep technical expertise in Java programming, Spring Boot microservices, and big data technologies in the AWS cloud environment (Redshift, Athena, etc. Extensive Expertise with Apache NiFi, JAVA and JAVA Spring boot Microservices, AWS, Red Shift, Athena and Big Data technologies.
$62 an hourFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Cloud & Big Data Integration: Lead the migration and integration of data systems to cloud environments (AWS, Azure, GCP) and implement big data solutions as needed for advanced analytics and reporting.
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6+ years of hands-on experience specifically in AWS and Big Data technologies such as S3, Lambda, DMS, Glue, DataBrew, Athena, Python, R-Studio, SageMaker, Eventbridge, LakeFormation, DMS, Redshift, RDS, ECS, etc.
$143,706 a yearFull-timeRemoteExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Office of the Attorney General of Texas requires the services of 3 Data Scientist (Big Data Engineer) 2 , hereafter referred to as Candidate(s), who meets the general qualifications of Data Scientist (Big Data Engineer) 2, Data/Database Administration and the specifications outlined in this document for the Office of the Attorney General of Texas.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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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.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Job Title: AI Big Data Engineer. Proficiency with big data frameworks and tools (e.g., Spark, Kafka, Hadoop). Implement business logic on modern data platforms (e.g., AWS Glue, Azure, Databricks.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Comfortability with data warehouses and big data technologies such as Redshift, Snowflake, Big Query, Presto, Athena, Spark, DBT. The ideal candidate will be adept in navigating the data stack and able to support initiatives in all facets from analytics/data engineering and product analytics to machine learning.
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As an AI Big Data Engineer, you will focus on creating a Unified Data Platform. Experience with big data frameworks and tools such as Spark, Hadoop, Kafka, and Hive.
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You'll work with modern tools and technologies like Spark, Kafka, AWS, Azure, and Kubernetes to solve complex data challenges while collaborating with cross-functional teams to ensure data reliability and quality.
$75 an hourExpandApply NowActive JobUpdated Today
big data jobs Company: Uniti Med in WA, Ohio
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