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At least 8 years of Experienced with Advance knowledge of Ab Initio Graphical Development Environment (GDE), Meta Data Hub, Operational Consol. Experience with Ab Initio, EMR, S3, Dynamo DB, Mongo DB, ProgreSQL, RDS, DB2.
$105,408 - $209,352 a yearFull-timeRemoteExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Position requires 5+ years of experience in the following: Agile Software development methodologies utilizing Ab initio, Github, Jenkins, AWS, Big Data platform, Python, Oracle, Teradata, and Spark.
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CareFirst Lead Data Engineer (Remote) Reston , Virginia Apply Now This is an Ab Initio Administration Lead position and not a developer position. MySQL, PostgreSQL, Mongo DB, RDS, DB2), Big Data systems (ex.
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G Informatica, Datastage, Talend, Kettle, Ab-Initio.) We are looking to speak to Big Data Architects or developers, or in fact, anyone who has legitimately been through 1 full life cycle using any Cloudera product to drive Big Data Strategies in an organization.
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Created Big Data pipelines (ETL) from on-premises to Data Factories, Data Lakes, and Cloud Storage such as EBS or S3. The Lead Ab Initio ETL Administrator is responsible for leading all the tasks involved in administration of ETL tool (Ab-Initio) as well as migrating Ab Initio infrastructure to the Cloud.
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Bring your skills in Python, Ab Initio, Snowflake, Teradata, AWS and help us not stop until health care is better for all! s degree and 3 years of experience with Data Integration, Data Warehouses, Operational Data Stores, Data Lakes and Big Data platforms.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Knowledge of Data Warehouse technology (Unix/Teradata/Ab Initio/Python/Spark/Snowflake/No SQL) Knowledge of Data Warehouse technology (Unix/Teradata/Ab Initio.
ExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Familiarity with ETL/ELT tools such as Ab-Initio, DataStage, or Informatica. Experience in building & utilizing tools and frameworks within the Big Data ecosystem including Kafka, Spark, and NoSQL.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Design, develop and deliver solutions using Ab Initio GDE and Co Op (Continuous, Batch, Plans), Talend Big Data Integration Suite, Java, J2EE, Restful Web Services, Python, Unix Scripting, and Oracle concepts.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Required Skills: 4+ years of experience in Level-3 Production Support activities with hands on experience in Oracle SQL and PL/SQL, Unix shell scripting, AutoSys, Ab>Initio, Bit Bucket and Service Now.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Duties: Design and deliver ETL (Extract, Transform and Loading) solutions for the Reference Data Team which is focused on expansion and maintenance of the firm centralized reference data platform used by the Securities & Spread Division of the Institutional Clients Group.
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Must have 5 years of ETL Design and Development experience using Ab Initio. Experience with Big Data/ Hadoop technologies like HDFS, Hive, Impala- Nice to have. 1-2 years of Data Integration project experience on Hadoop Platform, preferably Cloudera.
ExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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Title: Sr. IT Developer with Hadoop & Spark/Scala/Ab Initio. Design, implement, and maintain big data solutions using Spark/Scala. Experience with Ab initio Technology preferred.
ExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Knowledge of BPA & ETL concepts ( Ab-Initio, Apache Airflow, etc.) At CIRCANA, we deliver growth to clients based on big data—our predictive analytics and forward-thinking insights help CPG, OTC, health care, retailers, and media companies remain relentlessly relevant, capture marketing share, connect with consumers, and deliver market-leading growth.
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Experience with Ab Initio, EMR, S3, Dynamo DB, Mongo DB, ProgreSQL, RDS, DB2 is a Plus. This is a Big Data Administrator Lead position and not a developer position. The Lead Data Engineer is responsible for orchestrating, deploying, maintaining and scaling cloud OR on-premise infrastructure targeting big data and platform data management (e.g., data warehouses, data lakes) including data access APIs. Prepares and manipulates data using Hadoop or equivalent.
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