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  

Background & Objective:

Our client is looking to create online education programs in the hospitality space and is looking to get a comprehensive ed-tech platform. The solution required has three parts:

1. Web Development

2. Mobile App Development

3. Learning Management System (LMS) Development

Requirements:

We invite bids from prospective partners who have capability to develop the solution comprising the above three modules. The prospective bidders are required to include the followng in their bids:

1. Functional Capabilties.

2. Technology Stack: We'll need details of what technology will be used for each of the three modules. For Mobile and Web App partners may suggest their recommendations, however, for LMS the preference is for Moodle to be used.

3. Timelines & Project Schedule

4. Support for Delivery

5. Costs: One Time and Post Production Support.

Please get in touch through chat should you need any more details.

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:

• 2 to 3 years

Job location:

• Bangalore/Chennai/ Hyderabad (WFH at the moment)

Duration:

• 3 months. May get extended.

Joining:

• immediate

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  

We need a proficient PySpark resource with good experience.