Chicago, Illinois, United States Hybrid / WFH Options
Request Technology - Robyn Honquest
required) Experience with distributed message brokers using Kafka (required) Experience with high speed distributed computing frameworks such as AWS EMR, Hadoop, HDFS, S3, MapReduce, Apache Spark, ApacheHive, Kafka Streams, Apache Flink etc. (required) Experience working with various types of databases like Relational, NoSQL, Object-based more »
required) Experience with distributed message brokers using Kafka (required) Experience with high speed distributed computing frameworks such as AWS EMR, Hadoop, HDFS, S3, MapReduce, Apache Spark, ApacheHive, Kafka Streams, Apache Flink etc. (required) Working knowledge of DevOps tools. Eg Terraform, Ansible, Jenkins, Kubernetes, Helm and more »
required) Experience with distributed message brokers using Kafka (required) Experience with high speed distributed computing frameworks such as AWS EMR, Hadoop, HDFS, S3, MapReduce, Apache Spark, ApacheHive, Kafka Streams, Apache Flink etc. (required) Working knowledge of DevOps tools. Eg Terraform, Ansible, Jenkins, Kubernetes, Helm and more »
engineering technology stack compatible with AWS. Experience with web scraping and other data ingestion methods and tools. Knowledge of distributed computing frameworks (Hadoop, Spark, Hive, Presto). Experience with data orchestration tools (Airflow, Orchestra, Azkaban). Expertise in cloud data warehousing and core data modelling concepts. Proficiency in version more »
Azure SQL Data Warehouse, Azure Data Lake,AWS S3,AWS RDS,AWS Lambda or similar Have experience with Open Source big data products i.e.Hadoop Hive, Pig, Impala or similar Have experience with Open Source non-relational or NoSQL data repositories such as:MongoDB, Cassandra, Neo4J or similar Be confident more »
Azure SQL Data Warehouse, Azure Data Lake,AWS S3,AWS RDS,AWS Lambda or similar Have experience with Open Source big data products i.e.Hadoop Hive, Pig, Impala or similar Have experience with Open Source non-relational or NoSQL data repositories such as:MongoDB, Cassandra, Neo4J or similar Be confident more »
Azure SQL Data Warehouse, Azure Data Lake,AWS S3,AWS RDS,AWS Lambda or similar Have experience with Open Source big data products i.e.Hadoop Hive, Pig, Impala or similar Have experience with Open Source non-relational or NoSQL data repositories such as:MongoDB, Cassandra, Neo4J or similar Be confident more »
Azure SQL Data Warehouse, Azure Data Lake,AWS S3,AWS RDS,AWS Lambda or similar Have experience with Open Source big data products i.e.Hadoop Hive, Pig, Impala or similar Have experience with Open Source non-relational or NoSQL data repositories such as:MongoDB, Cassandra, Neo4J or similar Be confident more »
SQL Data Warehouse, Azure Data Lake, AWS S3,AWS RDS,AWS Lambda or similar Have experience with Open Source big data products i.e. Hadoop Hive, Pig, Impala or similar Have experience with Open Source non-relational or NoSQL data repositories such as: MongoDB, Cassandra, Neo4J or similar Be confident more »
SQL Data Warehouse, Azure Data Lake, AWS S3,AWS RDS,AWS Lambda or similar Have experience with Open Source big data products i.e. Hadoop Hive, Pig, Impala or similar Have experience with Open Source non-relational or NoSQL data repositories such as: MongoDB, Cassandra, Neo4J or similar Be confident more »
source-to-target mappings) to testing and service optimisation.) Good familiarity with our developing key services/applications - AmazonRDS, Amazon DynamoDB, AWS Glue, MapReduce, Hive, Spark, YARN, Airflow. Ability to work with a range of structured, semi-structured and unstructured file formats including Parquet, json, csv, pdf, jpg. Accomplished more »
analytic tools like R & Python; & visualization tools like Tableau & Power BI Exposure to cloud platforms and big data systems such as Hadoop HDFS, and Hive is a plus Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processes Graduate in Business Analytics more »
Programming and/or scripting experience a plus: SQL, C#, Perl, Spark, VBA Experience with big data environments a plus: Amazon Redshift, Hadoop/HIVE, Teradata Experience with collaboration tools & ticketing systems (e.g. JIRA, Confluence, GitHub) is preferred YOU BRING (EXPERIENCE & QUALIFICATIONS) : Bachelor's/Master's degree related more »
Programming and/or scripting experience a plus: SQL, C#, Perl, Spark, VBA Experience with big data environments a plus: Amazon Redshift, Hadoop/HIVE, Teradata Experience with collaboration tools & ticketing systems (e.g. JIRA, Confluence, GitHub) is preferred YOU BRING (EXPERIENCE & QUALIFICATIONS) : Bachelor's/Master's degree related more »
Azure storage, Azure data lake storage, Azure data bricks, Azure AD, Azure ML etc. Experience with big data technologies such as Cloudera, Spark, Sqoop, Hive, HDFS, Flume, Storm, and Kafka. Experience with Microsoft CoPilot, and exposure to TensorFlow, Python NLTK are a plus more »
Minimum Qualifications Bachelors or Masters Degree in Engineering or Computer Applications Hands-on experience with MS SQL Server and GCP Familiarity with BQ, Spark, Hive, Pig, and other analytical tools. Understanding of finance domain. Preferred Qualification Experience in SAP data modelling Genpact is an Equal Opportunity Employer and considers more »
experience in building DW/BI systems · Demonstrated ability in data modeling, ETL development, and Data warehousing. · Strong experience with Big Data Technologies (Hadoop, Hive, Hbase, Pig, Spark, etc.) · Expertise in a BI solution like Power BI · Hands on experience in modelling databases (particularly nosql), working on indexes, materialized … with impressive visualization (Power BI) · Experience in building large scale DW/BI systems for B2B SAAS companies · Experience with open-source tools like Apache Flink and AWS tools like S3, Redshift, EMR and RDS. · Experience with AI/Machine Learning and Predictive Analytics · Experience in developing global products more »
delivering moderate-to-complex data flows as part of a development team in collaboration with others. You’ll be confident using technologies such as: Apache Kafka, Apache NiFi, SAS DI Studio, or other data integration platforms. You can implement, deliver, and translate several data models, including unstructured data … and recognised standards to build solutions using various traditional or big data languages such as: SQL, PL/SQL, SAS Macro Language, Python, Scala, Apache Spark, Java, JavaScript etc, using various tools including SAS, Hue (Hive/Impala), Kibana (Elastic Search). Knowledge of data management on Cloud more »
Azure storage, Azure data lake storage, Azure data bricks, Azure AD, Azure ML etc. Experience with big data technologies such as Cloudera, Spark, Sqoop, Hive, HDFS, Flume, Storm, and Kafka. Responsibilities Create, maintain, and govern architectural views and blueprints depicting the Business and IT landscape in its current, transitional more »
to set the direction and deliver on a vision with forward planning to achieve results • Technical knowledge of big data platforms (e.g., Hadoop and Hive) as well as knowledge of ML, Data science and advanced modelling techniques, technologies, and programming languages • Possess a high degree of self-motivation, the more »
Min 7yrs with Python Big Data & Data lake solutions; PostgreSQL, Clickhouse or SnowFlake etc Cloud Infrasutcurre (AWS services) Data processing pipelines using Kafka, Hadoop, Hive, Storm, or Zookeeper Hands-on team leadership The Reward Joining a fast-growth, successful blockchain business. The role offers fully remote work, a great more »
and availability of the company's software products. Data Processing Pipelines : You'll design and implement data processing pipelines using technologies like Kafka, Hadoop, Hive, Storm, or Zookeeper, enabling real-time and batch processing of data from the blockchain. Hands-on Team Leadership : As a hands-on leader, you more »
Job Description Love cutting-edge tech? We do too. A subsidiary of Publicis Groupe, Epsilon is a leading provider of multi-channel marketing services, technologies, and database solutions. We do more than collect and store data, and we might be more »
