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  

SAS BI Consultant:

• Rich experience on SAS BI Tools
• SAS Web Reporting Studio, SAS OLAP Cubes, SAS IMAP, SAS Management Console, SAS IDP, SAS AMO, SAS stored process
• Knowledge in SAS BASE
• Shell scripting, DML, DDL ,Data warehousing
• Design reports using SAS BI
• No of position-3
• Role & Responsibilities - Dev and Testing Skills
• Experience - 3-6 years of experience
• Location – Delhi NCR

Looking for visual representation of our analytics of past 3 years to understand the customer behaviour. We will provide complete access to our analytics account. Do let me know if you need any specific details to present this report. We will provide complete access to our analytics account. Do let me know if you need any specific details to present this report.

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  

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.