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Develop/ Build and enhance data pipelines using Python, Spark based data engineering solutions (Databricks), and SQL (AWS Redshift). Hands on experience working in cloud data platforms such as AWS Redshift, Spark based data engineering solutions.
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Experience with at least 3 of the technologies/tools mentioned here: HAProxy, Kafka, Big Data/ Hadoop, Presto, Spark, Airflow, Pinot, Druid, Opensearch, Gcp, Data Proc. Experience scaling production systems running Big Data tools like Spark, Hadoop, Apache Druid, Looker.
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Experience in developing Apache Spark notebooks using Python, R, Scala or similar data analytics languages. Experience with Azure data services, such as Azure Data Factory, Azure Synapse Analytics, Azure Event Hub, Azure Data Lake, Azure Databricks, Azure SQL Database, and others, to build end-to-end data solutions.
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Experience with orchestration tools such as Airflow, Dagster, or Prefect, with big data tools such as Kafka & Spark, and with dbt. Experience with modern columnar data warehouses such as Snowflake, Redshift, BigQuery.
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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. 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.
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Data: Good understanding of data & data processing tools (e.g. Spark, Kafka, SQL), of relational database technologies and of analytics databases (e.g. Redshift, Vertica, Snowflake) Big Data & Streaming: 2+ years using big data and/or streaming technologies (e.g. Apache Spark, Apache Kafka, Apache Flink.
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Experience in large scale cloud data migrations using Databricks, Snowflake, Python, Spark, SQL. Experience in large scale cloud data migrations using Databricks, Snowflake, Python, Spark, SQL.
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Familiarity with big data processing frameworks such as Apache Spark and experience with programming languages like Python, Scala, or SQL. Manulife/John Hancock offers eligible employees a wide array of customizable benefits, including health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans.
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Experience using big data technologies and distributed computing engines, e.g. HDFS, Spark, Kafka, Cassandra, Solr, Dask. Experience using distributed computing engines, e.g. Dask, Ray, Spark.
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Strong knowledge on Databricks SQL/Spark/Scala - Data engineering pipeline. Strong knowledge on Databricks SQL/Spark/Scala - Data engineering pipeline. 2+ years of experience on cloud-based development including Azure Services, Azure Devops, Kubernetes, Docker.
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Experience in large scale cloud data migrations using Snowflake, Python, Spark, SQL, Databricks. Experience in large scale cloud data migrations using Snowflake, Python, Spark, SQL, Databricks. Experience in end-to-end implementation of projects in Azure, Snowflake, Python, SQL.
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Experience with Apache Spark for distributed data processing. The Sensors Division at STR focuses on technology development for advanced sensor systems, particularly in the areas of airborne/surface-based radar, electronic warfare, underwater acoustics, hyperspectral imaging, and EO/IR sensing.
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Strong work experience in Azure databricks, Azure Synapse SQL Pool, Azure cloud, Azure Data engineering & Snowflake Spark, Big Data Hadoop, Hive, PySpark, SQL. Migrate current services & Run performance test from On-prem Rancher to Azure - Compute.
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Knowledge of big data technologies such as Apache Spark. TekStream has an immediate opening for a Data Engineer with a strong background in Python, AWS and Databricks for a remote long term contract.
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Familiarity with advanced data processing technologies such as Apache Spark or Kafka. Experience with data reporting (e.g., Microstrategy, Tableau, Looker) and data cataloging tools (e.g., Alation.
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spark job Company: Boys And Girls Club Of Bluffton in Boston, MA
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