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Experience with data integration and ETL tools, such as Talend or Informatica. Familiarity with big data technologies, such as Hadoop, Spark, and NoSQL databases. Experience with data integration and ETL tools, such as Talend or Informatica.
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Proficiency in designing and implementing ETL processes and data integration workflows using tools like Apache Airflow, Informatica, or Talend. Strong proficiency in programming languages such as Python, Java, or Scala, with expertise in data processing frameworks and libraries (e.g., Spark, Hadoop, SQL, etc.
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Exp designing and delivering data engineering solutions with Databricks Exp in Azure Databricks Experience in Data Engineer in zure Big Data Environment Expertise in ETL tools i.e. (Infomatica, Talend, SSIS, Data Stage) Expertise in Implementing Data Warehousing Solutions Exp with working in Agile (KANBAN, Scrumban) environment Exp in zure stack ( zure Data Lake, zure Data Factory) Exp in Scala or Python, T-SQL.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Hands on experience in Data Pipeline and integration tools like Talend, Change Data Capture (CDC), Spark & Azure APIs. Hands on full stack proficiency (e.g., Java, SQL, React, JavaScript etc.
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Experience with big data tools: Hadoop, Spark, Kafka, Spark & Kafka Streaming, Python, Scala, Talend etc. Experience with public cloud environments(AWS, Azure, GCP), preferably experience with Google Cloud services like Bigquery, GCS, Cloud Composer, PubSub.
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Knowledge of further Cloud technologies (Redshift, S3, EC2, EMR, Talend/Pentaho/Snowflake) 5+ years hands-on experience with the Big Data stack (HDFS, SPARK, MapReduce, Hadoop, Sqoop, Pig, Hive, Hbase, Flume, Kafka.
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Develop and maintain code for data ingestion and curation using Informatica IICS, Talend, Spark, Kafka, etc. What youll do:You will be a Sr. Data Engineer in a horizontal Dev Engineering team that includes onshore and offshore developers using best-in-class Google Cloud, Big Data, and relational Data warehouse technologies, including Informatica Big Query, IICS, Talend, Teradata, Python, etc.
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Hands-on experience with ETL (Extract-Transform-Load) tools (e.g. Informatica, Talend, Pentaho) 5+ years hands-on experience with related/complementary open source software platforms and languages (e.g. Java, Linux, Apache, Perl/Python/PHP, Chef, Scala.
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Minimum 5 years of experience with ETL/ELT design and development using tools like IICS, AWS Glue, Talend, Databricks, Oracle Data Integrator (ODI) or equivalent. Minimum 2 years of experience with large-scale data processing platforms such as Spark, EMR, and/or HPC computing experience with e.g. Apache Aurora, Slurm.
ExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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5+ year support experience of Big Data technologies in Hadoop ecosystem - Hive, HDFS, MapReduce, Spark, Yarn, Kafka, Pig, HBase, Sqoop, Elastic Search, Kerberos. Extensive experience in designing, engineering and managing data lake ingestion, validation, transformation and consumption services leveraging cloud data tools like Hive, Spark, EMR, Glue ETL and Catalog, Snowflake etc.
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Product SME for Confluent Kafka, Apache Spark, Talend. Working knowledge of Apache Spark and Talend would be a plus. Apache Spark-> Cloudera - CCA Spark and Hadoop Developer (CCA175.
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Platform as a Service (Cloudera, Snowflake, Databricks), Integration et Compute (Talend, Dbt, Snaplogic, Spark, Glue. Platform as a Service (Cloudera, Snowflake, Databricks), Integration et Compute (Talend, Dbt, Snaplogic, Spark, Glue.
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Environnement technique : Spark, Hadoop, Hive, Kafka, Elastic, Cloudera, Azure HD Insight, Informatica, Talend, Stambia, DataStage, SAS, DataIku, DataBricks, Qlik, SAP BI (BO), Power BI, Java, Scala, Python, R.
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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. AWS Glue, Lambda, Athena, Pyspark, Redshift, EMR, AWS RDB, AWS DynamoDB, AWS Glacier, Python.
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Successful candidates will not only demonstrate advanced knowledge of AWS, Databricks, Snowflake, Python, Spark APIs and Event Driven patterns - but have tangible experience with similar efforts to modernize legacy data & analytics platforms from on-premise to cloud.
$121,000 - $199,600 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago
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