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Designing the Data Pipeline using Databricks clusters with AWS platform and services like AWS S3, RDS. Solid understanding of Databricks fundamentals/architecture and have hands on experience in setting up Databricks cluster, working in Databricks modules (Data Engineering, ML and SQL warehouse.
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Deep knowledge of modern data warehouse platforms (Snowflake, Databricks, Redshift, Azure Synapse) Technical/Development: Hands-on independently and/or with Tech Leads, with Cloud-based technologies (i.e., Snowflake, Databricks), creating data pipelines and orchestration to integrate systems.
$120,000 - $140,000 a yearExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Data lake houses (Databricks or Snowflake) Certification in cloud computing (e.g., AWS Certified Solutions Architect, Azure Data Engineer Associate, Google Cloud Certified - Professional Data Engineer.
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Knowledge of Big Data Platforms (Cloudera, Databricks), Big Data Technologies (Scala, Impala, etc.) The team is involved in the build-out of a Data Lakehouse using Databricks for the FX business line.
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Experience with two or more of the following areas including Oracle 11g, Oracle Exadata, traditional data marts, Hadoop, Databricks, Snowflake, Data Stage, ETL, Tableau, Qlikview, AI/ML techniques, Java, Impala, Hive etc.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Design, develop, and deploy Spark program in databricks environment to process and analyze large volumes of data. Implement best practices for data management, security, and governance within the Databricks environment.
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What you will be responsible forDevelop/ Build and enhance data pipelines using Python, Spark based data engineering solutions (Databricks), and SQL (AWS Redshift). Hands on development in Python, PL/SQL, SQL, Shell Scripting, AutoSys. Hands on experience working in cloud data platforms such as AWS Redshift, Spark based data engineering solutions.
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Big Data and Analytics: Will handle and analyze enormous volumes of data, Azure Data Engineers use big data technologies like Azure Databricks and Apache Spark. Knowledge of Azure Databricks, Azure IoT, Azure HDInsight + Spark, Azure Stream Analytics, and Power BI is desirable.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Hands-on independently and/or with Tech Leads, with Cloud-based technologies (i.e., Snowflake, Databricks), creating data pipelines and orchestration to integrate systems. We partner with our clients on advisory and strategy services and complete technical implementation capabilities focusing on data governance, change management, data intelligence, cloud and security, data engineering, visualization, and data science.
$120,000 - $140,000 a yearExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Experience with Marketing APIs, Big Query or other Cloud Data Warehouse tools (AWS, Snowflake, Databricks, etc.) Because you love data, you have advanced knowledge of SQL, Excel, Google Data Studio/Data Visualization and enjoy working with SQL on a day-to-day basis.
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Experience in large scale cloud data migrations using Snowflake, Python, Spark, SQL, Databricks. Good to have experience in Azure/AWS Databricks. Infosys is seeking an Azure and Snowflake Data Engineer.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Work with existing data tools (Snowflake, Matillion, Databricks, MS SQL, Power Apps, Power BI, Python, Kobai, Azure AI, etc) Strong proficiency in data analysis tools and languages (e.g., SQL, Python, R), as well as BI platforms (e.g., Tableau, Power BI, Qlik.
RemoteExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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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.
Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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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.
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Comfortable working in the cloud and high-performance computing environments (e.g. AWS, GCP, Databricks, Apache Spark) Apply data science expertise in machine learning, deep learning, statistics, text-mining/NLP, forecasting, and optimization to multiple analytics projects.
ExpandApply NowActive JobUpdated 3 days ago
databricks job Title: data in Boston, MA
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