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AWS Python SQL Hadoop Spark. Hadoop, Spark, Scala, Python) Bachelor's degree in Computer Science or related field, extensive experience in front-end development with Angular, experience with SDLC and Agile/SCRUM, back-end system integration experience, UX Design experience, experience with testing frameworks, version control tools, excellent communication and interpersonal skills.
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In-depth knowledge of big data technologies such as Spark and Hadoop. 2+ years of experience working in cloud platforms such as GCP, Azure, AWS, Snowflake, and othersfor data store, data processing and data consumption.
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Beeswax is the demand side platform of FreeWheel, helping advertisers and buyers transact with the programmatic ecosystem. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus.
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Technical knowledge in Spark, Hadoop & GCS Stack. Technical knowledge in Spark, Hadoop & GCS Stack. Experience with database modeling and development, data mining and warehousing. Hands on coder with good experience in programming languages like Java, Python, C.
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Guided by our genuine passion for health and wellness, our work across the entire media ecosystem helps patients navigate the most important moments of their healthcare journeys. Maintain JIRA, Confluence, MIRO board and other data management/Agile project management tools to develop end-to-end technical program execution and ensure on-time delivery in daily stand-ups.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Knowledge or experience with big data technologies such as Spark, Hadoop, Redshift, Snowflake, Kafka, Flink, Druid, Clickhouse. The main technologies we use include: Elixir, Erlang, Python, Terraform, Ansible, Packer, EMR/Spark, Apache Spark, Apache Druid, BigQuery and Redis.
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We exemplify transformative leadership, setting high benchmarks and partnering with Microsoft, Databricks, and our KI group ecosystem to ensure successful execution. Develop and optimise data pipelines and data models for maximum performance and operational efficiency across the entire data ecosystem.
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Experience in big data technologies(Apache Hadoop/Spark/Hive/Presto) You’ll work with a team of world-class talent from Stanford GSB, Wish.com, D.E. Shaw, Stitch Fix, Urban Outfitters, Wayfair, McKinsey, Nike etc.
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Hands-on experience in working with different types of databases; large relational storage engines (MySql and AWS RDS) and distributed storage engines (HDFS/Hadoop, NoSQL and Cloud tools such as S3, Redshift, Snowflake.
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Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic ecosystem, developing unique financial products, including Afterpay/Clearpay, to provide a better way to send, spend, invest, borrow and save to our 47 million monthly active customers.
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Experience with big data technologies (e.g., Databricks, Hadoop, Spark) and cloud platforms (e.g., Azure, AWS) is a plus. ex., Databricks, Hadoop, Spark) et avec les plateformes de nuage (p.
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Ber 3 Jahre Implementierungsfertigkeiten mit Big Data-Technologien wie Spark, Kafka, Hadoop oder Delta Lake. Idealerweise eine erfahrene Person, die mit Big Data-Technologien wie Hadoop, Spark, MPP- und NoSQL-Datenbanken sowie Cloud-Infrastruktur (Azure, AWS oder Google) gut vertraut ist.
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Data Warehousing, Data modeling, Data mastering, Data quality, ETL, Informatica, Alteryx, MSSQL, Oracle, Teradata, Hadoop, Snowflake, MSSQL, SSIS, SSRS, PowerBI, Tableau, Python, R, Scala, SPARK a další programovací jazyky, reporting, ETL nebo další datové nástroje.
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Usage of Big Data technologies such as Hadoop/ Databricks/ Spark/ EMR. Expert in ETL tools like Airflow, Talend, Matillion, Informatica, ODI, SSIS. Usage of Big Data technologies such as Hadoop/ Databricks/ Spark/ EMR.
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With tools such as Python, Snowflake, Airflow, DBT, Tableu, ELT/ETL, BigQuery, Looker Studio, Kafka, Hadoop, Spark, SQL. with tools such as Python, Snowflake, Airflow, DBT, Tableu, ELT/ETL, BigQuery, Looker Studio, Kafka, Hadoop, Spark, SQL.
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ecosystem hadoop jobs in Snowflake, AZ
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