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Experience in building high-performing data processing frameworks leveraging Google Cloud Platform and Teradata. Job Title: GCP & Teradata - Sr. Data Engineer. Experience in performing ETL and data engineering work by leveraging multiple google cloud components using Dataflow, Data Proc, BigQuery.
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The ideal candidate will have expertise in cloud technologies, particularly Google BigQuery, dbt, and Looker along with working experience in onPrem systems such as Teradata, SAP, OR HANA. Communicates analytical findings, including through reports, briefings, presentations, and data visualization.
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Data Platforms: Teradata Couchbase MongoDB Oracle SQL Server ADLS Snowflake. 5 years of cloud development and data lake experience prefer Microsoft Azure including Azure EventHub Azure Data Factory Azure Databricks Azure DevOps Azure Blob Storage Azure Data Lake Azure Power Apps and Power BI.
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Nice to have: Hands-on experience with some of the data analytics products such as Spark, Postgres, MySQL, Oracle Exadata, Teradata, Netezza, Greenplum, Amazon S3, Redshift, Athena, Glue, Glacier, Azure Data Lake Storage (ADLS), Google Cloud Storage (GCS), Delta Lake, Data Lakes, Google BigQuery, Azure Synapse, Snowflake, Apache Hudi, Apache Iceberg.
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You will own the key metrics, develop data pipelines, ETL. You will also make a direct impact on Square's priorities and Banking initiatives (primarily SQ’s debit card) by building risk detection strategies, developing & tracking key success metrics, influencing partners through data and enabling growth of the business.
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Knowledge/Experience: Master’s degree in Statistics, Mathematics, Computer Science, Informatics, Econometrics, Engineering, Experimental Science with 1+ years of experience or Bachelor’s degree and 3+ years of quantitative analysis experience in data science capabilities including data mining, predictive modeling, machine learning, statistical modeling, large scale data acquisition, transformation, and structured and unstructured data analysis.
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You will join a dynamic team of high-energy strategic sourcing experts supporting all indirect procurement categories across Teradata globally. Craft negotiation strategies and lead the negotiation of complex global enterprise agreements in collaboration with Business stakeholders, Legal, Risk Management, Data Privacy, Information Security, and external suppliers/partners.
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We are looking for a candidate, who is a self-starter and brings an entrepreneurial spirit, to join the Data Science and Data Analysis (DSDA) team and contribute to the data science products used to solve some of the complex issues and enhance system performance in the Battery Energy Storage System (BESS) industry that is seeing exponential growth.
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Other titles : HVAC Technician, Field Service Technician, Data Center Facilities Engineer, Facilities Technician, If you enjoy working on critical data center systems (UPSs, PDUs, Diesel Generators, ATS equipment and Building Controls), as well as industrial electrical equipment and systems that include power distribution components/wiring, electronic components and lighting systems.
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Experience in the areas of design and implementation of Ratings Data Ingestion pipelines with modern AWS cloud and other technologies such as S3, Hive, Databricks, Scala, Python and Spark. Hands-on experience in developing scalable data pipeline using technologies like Kafka, Databricks, Spark and Scala applying ETL and ELT concepts.
$77,400 - $160,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Extensive experience working with Databricks and Azure Data Factory for data lake and data warehouse solutions. Hands-on experience with big data technologies (such as Hadoop, Spark, Kafka.
$90,000 - $120,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our products are trusted by leading companies including PayPal, Visa, FTX, Uniswap, Anchorage, and federal agencies such as the FBI and IRS. Every day, we tackle challenges in data engineering, data science, and threat intelligence to advance our mission to build a safer financial system for billions of people.
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Strong familiarity with data structures, algorithms and design patterns. We celebrate our wins with opportunities to attend Lakers, Knicks, Anaheim Ducks, Anaheim Angels and NY Rangers games. A modern productivity toolset to get work done: Slack, Miro, Loom, Lucid, Google Docs, Atlassian and more.
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Strong understanding and prior use of SQL and be highly proficient in the workings of data technologies (Hadoop, Hive, Spark, Kafka, low latency data stores, Airflow, etc. Expertise selecting context-appropriate data modeling techniques, including Kimball dimensional modeling, slowly changing dimensions, snowflake, and others.
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We seek a Data Engineer who brings a robust skill set and extensive experience in cloud-based data engineering experience particularly within the realm of Azure and Databricks using Python, PySpark and cloud SQL. Critical thinking and problem-solving abilities are paramount, as you will navigate evolving and complex requirements and collaborate with stakeholders across diverse technical backgrounds.
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teradata data jobs Company: System One
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