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This nationwide mortgage industry leader has an immediate 9+ month contract opportunity for a Data Integration ETL Engineer/Developer with DataStage and Talend experience. This Data Integration/ETL Engineer will be working closely with a diverse team from different departments and functions, spanning locations in both Dallas and India.
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Sound knowledge of data flows, data architecture, data engineering /ETL and processing data. Data engineering / ETL pipeline testing and Automation. Develop and maintain automation frameworks and solutions for ETL and data architecture.
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SnowflakeSQL (medium to complex queries)ETL tools, primarily Talend or similar (Ab Initio, Informatica)Source Code Management tools and best practices (similar to: Git, Git Actions, branch management)Working knowledge of:CI/CD Pipelines (similar to: Jenkins, UCD)Process Orchestration Tools (similar to: AutoSys, Airflow, Step Functions )Infrastructure as Code (similar to: Terraform, CloudFormation)What is a Must Have.
$121,000 - $199,600Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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As a member of the Data Engineering Blockchain team, you own the ETL/ELT pipelines and data warehouse that are used to analyze trends and activity on the blockchain. Designing, building and maintaining data ETL/ELT pipelines to source and aggregate the required data for various data analyses and reporting needs, as well as to continually improve the operations, monitoring and performance of the data warehouse.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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3+ years of experience developing scalable Databricks ETL solutions for reporting and analytics. Normalize, extract, transform, and load (ETL) data, produce Spark analytics, prototype analytics, and develop endpoint schemas to process incoming data.
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Must have good technical understanding and knowhow on ETL tools like Informatica, DataStage, ISIS or Talend. Must have extensive experience in ETL development, Data Ingestion and Data Integration using API/microservices based approach.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Implement ETL design patterns for data warehousing using Kimball methodology and master data management, with expertise in T-SQL scripting, query optimization and data governance. The ideal candidate should have extensive experience in Microsoft Fabric stack of technologies, including Azure Synapse Data Engineering and Azure Data Factory, along with hands-on experience in ETL/ELT and cloud migration.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Experience in building ETL pipelines using DBT. Our category-defining enterprise platform enables organizations to operationalize trust across privacy, security, data governance, GRC, third-party risk, ethics, and compliance, and ESG.The ChallengeSenior Principal Data Engineer will be part of an innovative data team that enables Finance, Marketing, Product, Sales and to explore data and take actions that differentiate us from our competition.
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Our engineering team at OpenSea is in search of a strong, driving, but curiousData Engineer to take charge of our data replication, ETL, and warehousing infrastructure to empower our core user experiences, trust & safety models, and business intelligence use cases.
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As a Senior QA engineer, you will be responsible for leading the quality assurance effort for our products. Our well-known banners include Albertsons, Safeway, Vons, Jewel-Osco, Shaw's, Acme, Tom Thumb, Randalls, United Supermarkets, Pavilions, Star Market, Haggen, Carrs, Kings Food Markets, and Balducci's Food Lovers Market.
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ETL/Data integration/Streaming Talend, DataBricks, Python, Spark, Kafka. ETL/Data integration/Streaming Talend, DataBricks, Python, Spark, Kafka. Information Delivery Qlik Sense, MicroStrategy. Cloud Lake and Warehouse Snowflake, S3 Data Lake, other comparable technologies.
$118,800 a yearExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Develop and optimize ETL pipelines from various data sources using Databricks on cloud (AWS, Azure, etc.) 8-12 years experience in developing and implementing ETL pipelines from various data sources using Databricks on cloud.
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As a member of the Data Engineering - Business ETL team, you own the data warehouse and data pipelines that are used for financial and regulatory reporting. Designing, building and maintaining data ETL/ELT pipelines to source and aggregate the required data for various data analyses and reporting needs.
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Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, Application Architecture like microservices, API, and realtime streaming, ETL and Data Engineering technologies like PySpark, Glue, Snowflake, and a variety of AWS tools and services.
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Experience in data integration and building complex ETL pipelines using ETL tools, including Informatica, Datastage, Clover DX, AWS Glue, Knime. Big Data Engineer. 5+ years of experience in building data engineering solutions utilizing AWS services (S3, Kinesis, Lambda, Glue, SNS) or Data platforms like Databricks/Cloudera.
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etl job Title: machine learning engineer Company: Advantis Global
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