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Utilize programming languages like DataBricks, SQL, Python, and RDBMS and NoSQL databases and Cloud based data warehousing services such and Snowflake. This role will participate in these activities as well as build new automation using databricks, tableau, and enterprise tools.
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Snowflake, DataBricks, GCP, AWS. Our massive scale and deep trove of transaction data create an endless number of opportunities to use artificial intelligence to better understand our customers and offer new products and experiences that can improve their lives.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Engineer cloud-based analytics solutions on AWS, Azure, Databricks, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
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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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3+ years of experience with data applications and tools (Snowflake, Databricks, Spark, EMR, Presto, Datadog, DBT, etc.) Our growing data teams are looking for a savvy Lead Data Engineer to join and help build and evolve the next generation of Audience & Identity data platform that handles data at scale and uses state-of-the-art technologies to unlock the data s business value.
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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). State Street Global Advisors is looking for a highly skilled Data Engineer/ Data Analyst with 3+ years’ experience to join our Portfolio Analytics Technology Solutions team.
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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. What you’ll bring to Circle:For Senior Data Engineer (III) 4+ years of professional data engineering experience.
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Leverage Azure Data Factory and Azure Databricks for data integration and ETL processes. Use Azure Databricks for big data processing and analytics. Azure Data Factory, Azure DataBricks, Python experience is a plus.
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Working experience or knowledge on Databricks is desirable. The Software Quality Assurance Testing Engineer will play a key role in the quality assurance of Anti-Money Laundering ("AML"), Sanctions Screening, AML Transaction Monitoring, and Know Your Customer ("KYC") suite of applications in the Boston, MA area.
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Experience implementing and maintaining data platform core services (data lake, data integration, data warehouse) and configuring and integrating infrastructure and PAAS (e.g., Azure Data factory, Informatica cloud services, Databricks, Data gateway and Qlik Sense, Power BI.
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In-depth knowledge Data processing techniques and handling large data sets � Hands on experience using Azure Blob storage and Azure Data Lake Services for storing data � Hands on experience using Databricks in at least 2 projects, creating notebooks using Scala/Python.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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ETL/Data integration/Streaming Talend, DataBricks, Python, Spark, Kafka. Cloud Lake and Warehouse Snowflake, S3 Data Lake, other comparable technologies. - Be an expert and drive architecture in one or more areas of data storage (Data Lakes and Warehouses), data integration, Business Intelligence and analytics.
$118,800 a yearExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Big Data Analytical Platforms: Experience with big data technologies like Synapse Analytics, Microsoft Fabric, Hadoop/hive, Greenplum, and Databricks etc. Strong understanding of big data technologies such as Synapse Analytics, Microsoft Fabric, Hadoop/hive, Greenplum, and Databricks etc.
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For Senior Data Engineer (III) As a member of the Data Engineering - Business ETL team, you own the data warehouse and data pipelines that are used for financial and regulatory reporting.
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Databricks, Data Lakehouse architecture, modern data pipelines experience a plus. The Senior Data Engineer is primarily responsible for participating in the design, development, and implementation of solutions for the data warehouse.
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databricks job Title: data engineer Company: 3ktechnologies
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