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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.
Full-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Proven experience in understanding requirement related to extraction, transformation, and loading (ETL) of data using Spark on Cloud. Hands-on development experience and in-depth knowledge of Java/Python, Microservices, Containers/Kubernetes, Spark, and SQL.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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5+ years of software development or data engineering experience and best practices in Programming, SDLC practices, Distributed systems, Data warehousing solutions SQL and NoSQL, ETL tools, CICD, Bigdata, Cloud Technologies (AWS/AZURE), Python/Spark, Datamesh and Datalake, Data Fabric.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Exposure to Extract, Transform & Load (ETL) tools like Informatica or Talend. Experience with Big Data / Hadoop / Spark / Hive / NoSQL database engines (i.e. Cassandra or HBase). Maintain metadata structures needed for building reusable Extract, Transform & Load (ETL) components.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Familiarité avec les technologies modernes basées sur le cloud (data lakes, data warehouses, ETL/ELT, Spark) Azure Databricks (SQL ou Python, Delta Lake) Concevoir et mettre en œuvre des pipelines d'ingestion de données par lots et en temps réel pour Azure Data Lake ou similaires sur autres Cloud Solution Providers (AWS, GCP.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Any experience in understanding requirement related to extraction, transformation, and loading (ETL) of data using Spark on Cloud. Knowledge or experience on ETL technologies like Informatica or Ab-initio would be preferable.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Analysis, Design, development, support and Enhancements of ETL/ELT in data warehouse environment with Cloudera Bigdata Technologies (with a minimum of 8-9 years’ experience in Hadoop, MapReduce, Sqoop, Py Spark, Spark, HDFS, Hive, Impala, Stream Sets, Kudu, Oozie, Hue, Kafka, Yarn, Python, Flume, Zookeeper, Sentry, Cloudera Navigator) along with Oracle SQL/PL-SQL, Unix commands and shell scripting.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Create Remedy/Service Now tickets to fix production issues, create Support Requests to deploy Database, Hadoop, Hive, Impala, UNIX, ETL/ELT and SAS code to UAT environment. Perform data analysis, data profiling, data quality and data ingestion in various layers using big data/Hadoop/Hive/Impala queries, Py Spark programs and UNIX shell scripts.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Familiarity with data integration techniques, ETL frameworks (e.g., Apache Spark), and workflow management tools (e.g., Airflow). blob storage, Redshift, Kafka, Hadoop, Spark, Hive etc.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Experience in analysis, design, development, support and enhancements in data warehouse environment with Cloudera Bigdata Technologies (with a minimum of 8-9 years’ experience in Hadoop, MapReduce, Sqoop, PySpark, Spark, HDFS, Hive, Impala, Stream Sets, Kudu, Oozie, Hue, Kafka, Yarn, Python, Flume, Zookeeper, Sentry, Cloudera Navigator) along with Informatica.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Can profile, wrangle, and prepare data from disparate sources using tools like SQL, SAS, Python, Spark, Scala or Alteryx. Have significant experience working with experience with data warehousing, ETL, data quality concepts, BI/analytical tools, unstructured data, or machine learning.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Expertise in majority of data management practices - data modeling (dimensional), data architecture, data cataloging, data governance, data quality, master data management, data engineering, ETL/ELT, Event Driven Architectures, Streaming, Batch, and Realtime architectures on the cloud, data privacy and sensitive data handling, data anonymization / de-identification, DataOps.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Strong proficiency with Python, SQL, Databricks, and Spark. 8+ years of experience implementing ETL pipelines using Databricks on cloud. Developing and implementing ETL pipelines. Strong proficiency with Python, SQL, Databricks, and Spark.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Exposure to big data platforms a plus (Hadoop, Spark, Scala, etc.) Working knowledge and proven experience with ETL integration platforms (SSIS, Informatica – 5+ Years) Exposure to API Integration platforms/Microservices a plus (Snap Logic, Mule Soft, Boomi, etc.
ExpandApply NowActive JobUpdated 5 days ago
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