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 »
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 »
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 »
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 »
Key responsibilities: Develop robust architectures and designs for big data platform and applications within the Apache Hadoop ecosystem. Implement and deploy big data platform and solutions on-premises and in hybrid cloud environments. Read, understand, and modify open-source code to implement bug fixes and perform upgrades. Ensure all … applications. Your Profile Key Skills/Knowledge/Experience: Proven experience in architecting, designing, building, and deploying big data platforms and applications using the Apache Hadoop ecosystem in hybrid cloud and private cloud scenarios. Experience with hybrid cloud big data platform designs and deployments, especially in AWS, Azure, or … Google Cloud Platform. Experience in large-scale data platform builds and application migrations. Expert knowledge of Apache Hadoop ecosystem and associated Apache projects (eg, HDFS, Hive, HBase, Spark, Ranger, Kafka, Yarn etc.). Proficiency in Kubernetes for container orchestration. Strong understanding of security practices within big data more »
and analytical role Experience of Data Lake/Hadoop platform implementation Hands-on experience in implementation and performance tuning Hadoop/Spark implementations Experience Apache Hadoop and the Hadoop ecosystem Experience with one or more relevant tools (Sqoop, Flume, Kafka, Oozie, Hue, Zookeeper, Hcatalog, Solr, Avro) Experience with one … or more SQL-on-Hadoop technology (Hive, Impala, Spark SQL, Presto) Experience developing software code in one or more programming languages (Java, Python, etc.) Preferred Qualifications Masters or PhD in Computer Science, Physics, Engineering or Math Hands on experience leading large-scale global data warehousing and analytics projects Ability more »
Key responsibilities: Develop robust architectures and designs for big data platform and applications within the Apache Hadoop ecosystem. Implement and deploy big data platform and solutions on-premises and in hybrid cloud environments. Read, understand, and modify open-source code to implement bug fixes and perform upgrades. Ensure all … applications. Your Profile Key Skills/Knowledge/Experience: Proven experience in architecting, designing, building, and deploying big data platforms and applications using the Apache Hadoop ecosystem in hybrid cloud and private cloud scenarios. Experience with hybrid cloud big data platform designs and deployments, especially in AWS, Azure, or … Google Cloud Platform. Experience in large-scale data platform builds and application migrations. Expert knowledge of Apache Hadoop ecosystem and associated Apache projects (eg, HDFS, Hive, HBase,... more »
of experience of Data Lake/Hadoop platform implementation Good level hands-on experience in implementation and performance tuning Hadoop/Spark implementations Experience Apache Hadoop and the Hadoop ecosystem Experience with one or more relevant tools (Sqoop, Flume, Kafka, Oozie, Hue, Zookeeper, Hcatalog, Solr, Avro) Experience with one … or more SQL-on-Hadoop technology (Hive, Impala, Spark SQL, Presto) Experience developing software code in one or more programming languages (Java, Python, etc.) Preferred Qualifications: Masters or PhD in Computer Science, Physics, Engineering or Maths Hands on experience leading large-scale global data warehousing and analytics projects Ability more »
