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We are looking for a senior data solutions engineer with extensive experience in the big data and data warehouse ecosystems. In addition, be a key contributor in delivering critical business features with a passion for big data technologies.
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Our platform is ever evolving, but currently is a combination of SQL, Kafka, Flume, Spark, Scala, Java, Python, NoSQL (HBase, Cassandra and ScyllaDB), MPP RDBMS, Postgres, Hadoop, AWS, AirFlow, Docker, Kubernetes, and Elastic.
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Experience with large scale enterprise applications using big data open-source solutions such as Spark, Kafka, Elastic Search / Solr and Hadoop, HBase. - Experience or knowledge of basic programming and DB's technologies (SQL, Python, Cassandra, PostgreSQL, AWS Aurora, AWS RDS , MongoDB, Redis, Couchbase, Oracle, MySQL, Teradata.
ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Familiarity with data warehousing platforms and data pipeline tools such as Redshift, Snowflake, SQL Server, etc. Must have : - Data +Application Architect for MDM solution. Job Title : Data Architect.
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The candidate must have expert SQL coding skills to ingest, transform and analyze client data delivered to the Epsilon Digital’s Data Organization. The Epsilon Digital Data Organization builds and maintains MPP, HDFS and Elastic platforms to capture all data generated from the Ad Stack and external sources to support all aspects of the business.
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Familiar with real time streaming and big data technologies such as Kafka, Kinesis, and Apache Flink. Familiar with non-relational databases technologies such as Cassandra, CouchDB, or MongoDB.
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Experience with information security for No SQL, Big Data , and unstructured data stores (Cassandra, Hadoop, and /or Teradata) The Information Security Officer will be a member of the Business Information Security Officer's (BISO) organization and work closely with the line of business Front Line Units (FLU) / Operations (Ops) executives.
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Knowledge of NoSQL data stores such as MongoDB, Neo4J, Cassandra, Redis, etc. Role: Application Consultant - Big Data. Development of best practices, guidelines and standards for Data Governance, Data Quality and Data Integration.
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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.
Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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6+ years of experience within the field of data engineering or related technical work including business intelligence, analytics. - Ability to write designs for data architecture of data warehouse or data lake solutions or end to end pipelines.
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Expert Level - Big Data technologies, Azure, AWS, Hadoop, Spark, Hive, Kafka, Flume, NoSQL stores (HBase, Cassandra, DynamoDB, MongoDB). Experience in developing enterprise solutions for data extraction, transformation and aggregation from multiple file formats for analyzing & transforming the data.
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Work on Big Data technologies such as Spark, Spark streaming, Kafka, NoSql, EMR & other AWS tech stack. Experience using Big Data frameworks (e.g.,Spark, Flink) , databases (e.g., NoSql, Delta Tables, Mysql / Postgres) for complex data assembly and transformation.
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Exposure to big data platforms and tools such as Cassandra, ElasticSearch, and Hadoop desired. Understand SLAs for IoT data delivery, improve monitoring and response resolution times with knowledge management tools, cloud services tools and continues improvement efforts.
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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Internal knowledge of open source or related big data technologies. Experience in SQL and NoSQL, such as MySQL, PostgreSQL, Cassandra, HBase, Redis, DynamoDB, Neo4j, etc.
$147,500 - $195,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Working knowledge in verifying data in relational and non-relational database i.e. Oracle, MYSQL, Mongo, Cassandra, Big Query. Building an IoT solution in big data, the architecture is built around technology principles of being highly available, high performing, scalable, and highly secure.
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cassandra big data jobs in Chicago, IL
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