Position: NiFi /Big Data Developer 

Must Have Technical Skills: NiFi

Good to have Technical Skills: Python, ETL

Preferred Industry Experience: Telecom

·         Extensive experience on Nifi to setup data pipeline.

·         Hands on experience in using controllers and processors to setup ETL framework in Apache Nifi

·         Extensive experience in Python

·         Food understanding on Spark, Spark Streaming & PySpark.

·         Good understanding of Big Data components

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  

Web Scrapping Programmers:

·        As a Python Developer, your role is to apply your knowledge set to fetch data from multiple online sources, cleanse it and build APIs on top of it

·        Develop a deep understanding of our vast data sources on the web and know exactly how, when, and which data to scrap, parse and store this data

·        Work closely with Database Administrators to store data in SQL and NoSQL databases

·        Develop frameworks for automating and maintaining the constant flow of data from multiple sources

·        Work independently with little supervision to research and test innovative solutions

Skills and Qualifications:

·        Strong coding experience in Python (knowledge of Java, Javascript is a plus)

·        Experience with SQL databases

·        Experience with multi-processing, multi-threading and AWS/Azure

·        Strong knowledge of scraping frameworks such as Python(Request, BeautifulSoup), Web-Harvest and others

·        Previous experience with web crawling is a must

Experience:

• 1 to 2 years

Job location:

• Bangalore/Chennai/ Hyderabad

Duration:

• 3 months. May get extended.

Joining:

• immediate

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

SAS Analytics Consultant: 

• Identifies trends, patterns, and critical business insights using SAS
• Analytical Model Development like-Predictive Modelling /Logistics Regression/ Linear Regression/ Forecasting Modelling/ Time Series Etc.
• Manage all data for specific modules of analytical projects
• Contribute to building the analytical construct directed towards solving the business problem
• Work with the business team to specify analysis tasks to generate insights
• Design and execute the analysis tasks
• No of postion-2
• Role & Responsibilities - Dev and Testing Skills
• Experience - 3-6 years of experience
• Location – Delhi NCR

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

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.