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Extensive expertise with Apache NiFi Java Java Spring Boot microservices AWS (Redshift Athena) and big data technologies. Provide technical expertise in Java programming Spring Boot microservices and big data technologies in an AWS cloud environment (Redshift Athena etc.
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Experience in developing partner led sales in collaboration with data platform and tool vendorsIn-depth knowledge of big data technologies such as Hadoop, Spark, Kafka, and cloud platforms such as AWS, Azure, GCP, Snowflake, Databricks, etc.
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You will have a good understanding of business intelligence tools, data warehouses, master data management, data integration, documents and content, data modelling and design, ML/Big Data, analytics and dashboarding.
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Solid experience with big data technologies (Apache Spark, Hadoop, Kafka) and cloud services (AWS, Azure) related to data processing and storage. Utilize ETL tools and frameworks (e.g., Apache Airflow, Talend) to automate data workflows, ensuring efficient data integration and timely availability of data for analytics.
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SKill: Big Data Architect, Cloudera Big Data Tool stack (Hive ,Impala, OoZie), Pyspark, Teradata, Shell Script, Unix programing, Hadoop 8+ years of data engineering/architecture experience in Waterfall and Agile Methodology, with a proven track record of delivering complex data solutions, preferably in the financial sector.
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Experience with big data technologies Hadoop, Spark) and cloud platforms AWS, Azure). We are seeking a talented and experienced Data Scientist to join our team onsite at Warner Robins Air Force Base (AFB), GA. This role is integral to harnessing data to support mission-critical decisions in a secure defense environment.
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AWS Certified Solutions Architect AWS Certified Big Data - Specialty Certified Apache Spark Developer. Show advanced knowledge of Apache Spark for large-scale data processing. Develop and maintain data pipelines and workflows using Python and Apache Spark.
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Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark. Production experience with developing content recommendation algorithms at scale and familiar with metadata management, data lineage, and principles of data governance.
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The ideal candidate will have extensive technical expertise in AWS Cloud Formation AWS Glue Catalog Amazon Redshift Big Data AWS EC2 AWS EMR Amazon S3 and Python. Design build and manage analytics infrastructure that can be utilized by data analysts data scientists and non-technical data consumers which enables functions of the big data platform for Analytics.
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The ideal candidate will have experience with DBT, Snowflake, Python and Azure, along with a strong foundation Big Data, and Cloud Platforms. Expertise with cloud data platforms (Azure preferred) and Big Data technologies for large-scale data processing.
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Full Time Analyst - Data Engineer typically work on Financial Securities-related Technology projects such as: trade capture, real-time derivatives pricing & risk mgmt., PNL, quant modeling, algo execution & hedging, big data analytics, electronic trading & STP, valuations, etc.
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As a big data engineer at Booz Allen, you'll implement data engineering activities on some of the most mission-driven projects in the industry. We need an experienced data engineer like you to help our clients find answers in their big data to impact important missions—from fraud detection to cancer research to national intelligence.
$172,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query) Expanding, scaling, and standardizing the core foundational principles through consistent observability, lineage, data quality, logging, and alerting across all engineering teams in the Data organization is imperative to the creation of a single pane of glass.
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In HADOOP , you'll be given an introduction to BIG DATA, APACHE HADOOP, HADOOP ECOSYSTEM, CLOUDERA QUICKSTART VM along with core concepts of the Hadoop framework including MapReduce, HIVE, PIG, SQOOP, FLUME, HBASE, OOZIE.
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5+ years in a customer-facing pre-sales role, or consulting role - preferably working with big-data technologies to solve data engineering and big-data analytical challenges.
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big data jobs Title: entry level Company: Vector Marketing in AK, Germany
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