We are looking at augmenting our team with an ML Engineer. We are a retail house and need an ML Engineer to train for our upcoming e commerce venture.
Position: Support Engineer
Must Have Technical Skills: Azure Data Factory
Good to have Technical Skills: Knowledge of sql or hive, python, pyspark, hdfs or adls
Preferred Industry Experience: Manufacturing
Role:
Monitor Batch Pipelines in the Data Analytical Platform and provide workaround to the problems.
Troubleshoot issues, provide workaround, determine root cause, upon failures.
Desired Qualification:
· 0-3 years of DE or batch support experience.
· Must be willing to work completely in the night shift.
· Ability to work on a task independently or with minimal supervision.
· Knowledge of Data Orchestration Tool, preferably ADF.
· Knowledge of sql or hive, python, pyspark, hdfs or adls.
· Work location: Remotely.
Nos of Resources required: 1 to 2
Work location: Remote
Qualification: BE, BTech, MBA, MCA Prefer Comp. Sci. background
Experience: 0-3 Years
Mobilization Period in weeks: 1 week
Duration: 6 to 12 months
Power BI and Reporting:
1) Proficient in Building the PowerBI dashboards, SSAS Cubes and Data warehouse solutions, using Microsoft BI tools and with industry best practices.
2) Understand and deliver the business scenarios for improvement on the BI platform from a clients perspective
3) Manage interaction and expectation of client considering all the aspects of building long term sustainable solution
4) Can create amazing dashboard designs, SSAS models, data models on the database, suggest ETL data flow and collectively support team for developments
5) Should manage the onsite and offshore assignments
6) Good knowledge of data warehouse modeling
7) Report and support to management for day to day activities and deliveries
8) Maker-Checker approach to follow in the development
Experience:
Job location:
Duration:
Joining:
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
SAS Analytics Consultant: