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Working knowledge of big data and cloud technologies like Snowflake and AWS Athena preferred. Experience with campaign tools like Segment CDP, Unica, Adobe Campaign, Simon Data or Salesforce Marketing Cloud desired.
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Experience with big data and workflow management technologies like Hadoop, Spark, Redshift, Athena, Airflow, etc. Data platform: Hadoop, Hbase, OpenSearch, Kafka, Spark, Flink, Go, Java, SQL, Databricks, Snowflake, BigQuery.
$145,000 - $190,000 a yearExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Big Data(Spark, Scala), Big Data / ETL Development background needed. Proven experience (6+ years) as a data engineer and data scientist, preferably in a fast-paced technology or analytics-driven environment.
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Working knowledge of AWS Data Pipeline, Athena, QuickSight, and Redshift. - Demonstrated experience designing and implementing big data solution on the Hadoop platform, specifically on Amazon EMR with Spark.
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5+ years of strong experience in data engineering, specifically with AWS backend tech stack, including but not limited to S3, Redshift, Glue, Lambda, EMR, and Athena. 3+ years of hands-on experience with big data processing frameworks, such as Apache Spark.
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Design, Build and Operate the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, cloud migration tools, and ‘big data’ technologies.
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Must have hands on experience developing data engineering solutions in Python using: S3, EMR, Glue, Athena, Kafka and notebooks. Candidate must have 3-5 years of demonstrated experience in building big data solutions on AWS cloud primarily with PySpark, preferably in Data Analytics space.
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Experience with data processing technologies and tools, such as Spark, Hadoop(HDFS, Hive, MapReduce), Athena, Airflow, Luigi. Build big data processing pipelines using Spark and Airflow.
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Join us at Amazon Web Services on the Amazon EMR/Athena team to make a difference in the world of Big Data and Analytics! Amazon Elastic MapReduce (EMR) is the industry-leading cloud big data platform for petabyte-scale data processing, interactive analytics, and machine learning using open-source frameworks such as Apache Spark, Apache Hive, Presto and HBase.
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Proven experience building enterprise-grade software in a cloud-native environment (GCP or AWS) using cloud services such as GCS/S3, Dataflow/Glue, Data proc/EMR, Cloud Function/Lambda, Big Query/Athena, Big Table/DynamoExperience with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes.
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Utilizing the latest technologies, tools, and methodologies in microservices, DevSecOps, and big data analytics. We do everything from data collection to UI/UX development and advanced deep learning, using a broad toolset including Python, C#, and ArcGIS. Our projects include cutting-edge R&D efforts, as well as large mission programs incorporating data processing/optimization, data dissemination techniques, visualization, and collaboration across the commercial and government sectors.
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10 or more years and multiple implementations of hands-on big data, data warehouse and/or analytics data engineering experience using RDBMS and NoSQL data platform technologies, ETL, and Data ingestion protocols.
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Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
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Minimum of 10 years of experience in backend software development, with a strong focus on data engineering and big data technologies. Stay up-to-date with the latest trends, technologies, and industry best practices in the big data and data engineering domains.
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Experience with big data tools e.g. Snowflake, Apache Spark, Flink, Athena etc. You have extensive experience with relational databases like Postgres, a deep understanding of distributed systems and their tradeoffs, and a working knowledge of streaming data.
$170,000 - $190,000 a yearFull-timeExpandUpdated Today
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