Position: Azure Pyspark
Pyspark + with Data warehousing and Azure will be add on.
· Must have low level design and development skills. Should able to design a solution for a given use cases.
· Agile delivery- Person must able to show design and code on daily basis
· Must be an experienced PySpark developer and Scala coding. Primary skill is PySpark
· Must have experience in designing job orchestration, sequence, metadata design, Audit trail, dynamic parameter passing and error/exception handling
· Good experience with unit, integration and UAT support
· Able to design and code reusable components and functions
· Should able to review design, code & provide review comments with justification
· Zeal to learn new tool/technologies and adoption
· Good to have experience with Devops and CICD
Nos of Resources required: 1 to 2
Work location: Bangalore
Experience: 8 yrs – 9 yrs
Mobilization Period in weeks: 2 weeks
SAS Data Integration Consultant:
Our client, a home appliances manufacturer, wants to understand the past effectiveness of the marketing spend and take decisions regarding their future spend directions. We are looking for providers who could assist us in establishing the impact of key marketing variables.
We need help with our inventory planning. More details to be shared. Interested partie please contact
SAS Data Quality Consultant:
Position: Hadoop Admin
Must Have Technical Skills: Hadoop Admin
Good to have Technical Skills: Linux Admin, ETL
· Extensive experience with RedHat Linux and Cloudera is mandatory.
· Experience in installing, configuring, upgrading and managing Hadoop environment.
· Responsible for deployments, and monitor for capacity, performance, and/or troubleshooting issues.
· Work closely with data scientists and data engineers to ensure the smooth operation of the platform.
· End-to-end performance tuning of the clusters.
· Maintains and administers computing environments including computer hardware, systems software, applications software, and all configurations.
· Defines procedures for monitoring and evaluates, diagnoses and establishes work plan to resolve system issues.
· Working knowledge of entire Hadoop ecosystem like HDFS, Hive, Yarn, Oozie, Kafka, Impala, Hive, Kudu, HBase, Spark and Spark Streaming.
· Knowledge of Private and Public cloud computing and virtualization platform.
Nos of Resources required: 2 to 3
Work location: Remote
Qualification: BTech
Experience: 4 yrs – 5 yrs
Mobilization Period in weeks: 1 week
Duration: 3 to 6 months