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.
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