senior data engineer in pune

job type
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job details

pune, maharashtra
job category
Information Technology
job type
4 To 12
reference number
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job description

?- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and R.
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, etc.
- Build excel macros based automated tool which includes visualization, charts, filtering, etc.
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
- Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.


Client Introduction
?is a US based data analytics and big data organisation. Our head office is in Milpitas, California. In India, we have our centres in Kolkata, Pune, Bangalore and Mumbai. We are into text analytics, advanced analytics, predictive data modelling of structured and unstructured data using our indigenous next generation data analytics engine � XPRESSO.
Founded in 2010, we were rated as one of the 'Top Analytics Company 2012' in the world. We have strategic business relationships with large IT companies and talent sourcing tie ups with IIT KGP, IIM Lucknow, ISI Kolkata, Wright State University and top Indian Institute of Technology schools in India. We create products and solutions to enable data driven decision making across retail, healthcare and insurance.


?R: Data processing, Machine learning, Shiny, Data Visualization, MS Excel, VBA, Excel Macros, Python


?- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- Strong analytic skills related to working with unstructured/ semi-structured datasets.
- Build processes supporting data transformation, data structures, metadata, dependency and workload management.
- A successful history of manipulating, processing and extracting value from large relational datasets.
- We are looking for a candidate with 3+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics or another quantitative field. They should also have experience using the following software/tools:
o Relational SQL and Oracle databases.
o Object-oriented/object function scripting languages: Python.
o R: Data processing, Machine learning, Shiny, Data Visualization.
o MS Excel, VBA, Excel Macros.