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6 years of experience must include: Apache Spark, Hive, Kafka; Scala, Python; Abinitio, Oracle; Cloud technologies: ORAAS, IBM S3 (Simple Storage Service); Intellij, Eclipse, SQL Developer, Arcadia, Tectia, Tableau, Hue, Jenkins, Sonar; OpenShift, Unravel, Cloudera Manager; and Red Hat Enterprise Linux 8, Tibco.
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Requirements: Requires at least a Bachelor’s degree, or foreign equivalent, in Computer Applications or related field and 6 years of progressive, post-baccalaureate experience as a Reports Analyst, Data Engineer, Module Leader, or related position involving Data Extraction (ETL), Data analysis and reporting in financial domain.
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In-depth knowledge of big data technologies such as Hadoop, Spark, Kafka, and cloud platforms such as AWS, Azure, GCP, Snowflake, Databricks, etc. Hands-on experience extracting (ETL using CDC, Transaction Logs, Incremental) and processing large data sets for Streaming and Batch data loads.
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Hands-on experience in developing scalable data pipeline using technologies like Kafka, Databricks, Spark and Scala applying ETL and ELT concepts. Experience in implementing data lake systems using cloud native technologies such as S3, Redshift, EMR, Hive, Presto, Spark.
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Knowledge, Skills and Experience Google Cloud Platform (GCP) or AWS Scala, sbt, cats Airflow, Kubernetes Google Dataflow/Beam or Spark, SQL, BigQuery or similar data warehouse Key Responsibilities Serve as a Senior member of the team by contributing to the architecture, design, and implementation of EMS systems Mentor junior engineers and enable their growth Lead and drive technical projects.
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Experience with Apache Spark. Experience designing and maintaining production ETL/ELT pipelines using cloud services (Azure Data Factory, AWS Glue, Informatica, etc) Minimum of 2 years of experience with Data Warehousing solutions (Snowflake, Databricks, Amazon Redshift, Google BigQuery, Cloudera, etc.
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Hands on working experience in AWS GLUE ETL tool and having good knowledge on any of the ETL tools(Informatica cloud,Talend etc. Expertise with Python Language and Apache Spark. Strong AWS development experience for data ETL/pipeline/integration/automation work.
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Develop and implement transformation (ETL) logic to support the data provisioning and data consumption requirements. Citibank, N.A. seeks an Apps Dev Tech Lead Analyst for its Rutherford, New Jersey location.
$162,000 - $205,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Design, develop, and deploy Spark program in Databricks environment to process and analyse large volumes of data. 5+ years with Experience with developing and deploying ETL pipelines using Databricks Pyspark.
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Center 1 (19052), United States of America, McLean, VirginiaSenior Software Engineer Backend (Python, SQL, ETL, Spark, AWS)Do you love building and pioneering in the technology space? Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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Citigroup Inc. and its subsidiaries ("Citi”) invite all qualified interested applicants to apply for career opportunities. Collaborate and contribute towards common goals like Design review sessions, Pilot development and POC with globally diversified team spread over international locations and time-zones.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Python, Databricks, perl, spark , Kubernetes, dockers and other cloud native tools and technologies. Experience in Dimensional Modelling, Data Migration, Data Cleansing, Data conversion and bridging, and ETL techniques on multiple databases and operating systems.
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Good knowledge of data base management and SQL, Informatica, Hadoop/Spark, and ETL tools. Solid experience of AWS services such as CloudFormation, S3, Glue, EMR/Spark, RDS, DynamoDB, Lambda, Step Functions, IAM, KMS, SM etc.
$140,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Ability to understand data models and identify ETL optimization opportunities. Exposure to ETL tools is mandate. Knowledge of modern cloud native data warehouses i.e., AWS Redshift, Snowflake or Azure Synapse Analytics.
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Primary Skill : Snowflake,Spark,Kafka and SQL Queries. Document and develop ETL logic and data flows to facilitate the easy usage of data assets, both batch and real-time streaming. Experience with performance tuning of SQL Queries and Spark.
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spark etl jobs in Rutherford, NJ
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