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Strong proficiency in programming languages and scripting tools used in data engineering (e.g., Python, SQL, Scala). Knowledge of data warehousing architectures, data integration techniques, and ETL tools (e.g., Informatica, Talend, Apache NiFi.
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Nice to Have : Experience with enterprise ELT platforms like Talend , Fivetran and flexibility to build an in-house transformation code base using SQL, Python, Airflow etc. Hands on experience with programming languages including SQL, Python on cloud data platforms like Snowflake , Redshift etc.
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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.
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Enterprise modeling tool and data integration platform (Erwin, Embarcadero, Informatica, Talend, SSIS, DataStage, Pentaho) Experience on Big Data Tools – not limited to – Python, Spark + Python, HIVE, HBASE, Sqoop, CouchDB, MongoDB, MS SQL, Cassandra, Kafka.
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Ensure data quality and accuracy throughout the data pipeline, using Python, Talend or Native Snowflake functionalities. Snowflake, Python and Talend Data Engineer (Senior Level.
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Js/Vue.js, Python, and SQL. Utilize Talend for data integration and ETL processes, streamlining data workflows and ensuring data quality. Utilize Python to develop scalable and efficient backend solutions, integrating seamlessly with front-end components.
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Experience with data integration tools (e.g., Apache NiFi, Talend, Informatica) and workflow management systems (e.g., Apache Airflow, Luigi). Proficiency in programming languages such as Python, SQL, or Java, and experience with data manipulation and transformation frameworks (e.g., Pandas, Spark.
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ETL/Data integration/Streaming – Talend, DataBricks, Python, Spark, Kafka, Informatica. ETL/Data integration/Streaming – Talend, DataBricks, Python, Spark, Kafka, Informatica. Cloud Lake and Warehouse – Snowflake, S3 Data Lake, other comparable technologies.
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In this role, you will help define and build the data tech stack including Snowflake, AWS Redshift, Databricks, Python, Scala, SQL, SparkSQL , Talend, Airflow, AWS Glue, Tableau, AWS Sagemaker.
$140,000 - $225,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with data technologies: Hadoop, Spark, Kafka, Spark & Kafka Streaming, Python, Scala, Talend etc. AWS Cloud Practitioner or more advanced AWS certification preferred. Experience with modern data architectures and modern data platforms like Snowflake, Databricks etc.
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Collaborates in implementing components of data strategy – Master Data Management (MDM), data virtualization etc. In the process, the role will have the opportunity to act as a Data Advisory member for the Actuarial, Business Intelligence (BI), Data Science, and Data Engineering teams, as well as a collaborator and contributor to Enterprise Data Architecture.
$113,668 - $203,468 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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And data integration (ETL) development using Informatica, Talend, AWS Glue or similar. 2+ programming experience developing data solutions in Python, Java, Scala or similar. 3+ years experience working with cloud data warehouses such as Snowflake, AWS Redshift, Azure, BigQuery or similar.
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Databricks, Python, JavaScript, Kafka, dbt, Terraform, Snowflake, SQL, Jenkins, Github, Airflow, OpenSearch (Elasticsearch& Kibana), Talend, Alation, Neo4j, Hashicorp Vault / AWS Secrets Manager, Docker / OpenShift / Open Cloud Foundry, MongoDB, Docker, BlackDuck, SonarQube.
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Experience using ETL/ELT tools and technologies such as Talend, Informatica a plus Embrace data platform thinking, design and develop data pipelines keeping security, scale, uptime and reliability in mind.
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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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