• Full Time
  • Bavdhan, Pune
  • Posted 2 weeks ago
  • Salary: Rs.3 - 6 Lacs per Annum
  • Exp: 3 - 5 Years (Linux development environment and hands-on experience on Hadoop platform)
  • Position: Executive
  • Qualification: Any IT
  • Industry: IT Industry


Number of post : 3

Gender : Male /Female
Industry : IT

Job Role & Responsibility :

 Collaborate with customer to gather requirements and to understand their business processes.
 Propose and design solutions to improve existing business processes, and to help meet their business goals and targets.
 Develop system design and architecture.
 Collect, cleanse and transform data.
 Integrate data from multiple sources for report generation, visualization or to make this data accessible through web services APIs.
 Implement data analysis and machine learning algorithms to conduct hypothesis testing and to evaluate the effectiveness of the proposed solutions.
 Use tools to deploy and monitor the performance of the systems in production.
Microsoft Data Platform Engineer
 Strong understanding of data warehouse fundamentals including Data Modeling, Data management and handling of typical issues faced in large volume data warehouse development.
 Hands-on working experience in developing data warehouse solutions using Microsoft data platform.
 Minimum 3+ years’ experience with Microsoft Data platform including SQL Server, Analysis Services tabular models and SSIS.

 Experienced in developing ETL processes using TSQL or SSIS.
 Strong understanding and a working knowledge of Azure Services such as ADF, Azure SQL warehouse, Azure Analysis services and Power BI.
Big Data Engineer
 Minimum 3+ years’ experience with Linux development environment and hands-on experience on Hadoop platform across any industry
 Hands-on working experience with Apache Hadoop, HDFS, Elastic, HBase
 Experienced in developing ETL processes using Hadoop and Spark.
 Strong understanding and a working knowledge of AWS Services (such as EC2, Kinesis, Redshift, DynamoDB, S3, RDS, etc.).
 Familiar with cluster management tools, such as yarn.
General Requirements
 Superior stakeholder management and helps the team to collect the requirements/help to fine tune the requirements
 Logical thinking and willingness to take on the e2e process including data modeling, data engineering, and visualization.
 Strong design background and experience of designing and implementing solutions that have remained scalable/ robust months/ years after they were first implemented.
 Willingness to mentor and coach junior team members in the art of data science and the science of data engineering.

Joining: –   Immediate

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