21/03/2019
Location : Noida
Responsibilities:
Responsible for providing subject matter expertise in design of database schemes and performing data modeling
(logical and physical models), for product feature enhancements as well as extending analytical capabilities.
• Reviews the existing database design and data management procedures and provides recommendations for
improvement.
• Develop technical documentation as needed.
• Architect, develop, validate and communicate Business Intelligence (BI) solutions like dashboards,
reports, KPIs, instrumentation, and alert tools.
• Define data architecture requirements for cross-product integration within and across cloud-based platforms.
• Analyze, architect, develop, validate and support integrating data into the our platform from external
data source; Files (XML, CSV, XLS, etc.), APIs (REST, SOAP), RDBMS.
• Perform thorough analysis of complex data and recommend actionable strategies.
• Effectively translate data modeling and BI requirements into the design process.
• Big Data platform design i.e. tool selection, data integration, and data preparation for predictive modeling.
Required Skills:
• Minimum of 4-6 years of experience in data modeling (including conceptual, logical and physical data models.
• 2-3 years of experience in Extraction, Transformation and Loading ETL work using data migration tools like
Talend, Informatica, Datastage, etc.
• 4-6 years of experience as a database developer in Oracle, MS SQL or other enterprise database with focus on
building data integration processes.
• Candidate should have any NoSql technology exposure preferably MongoDB.
• Experience in processing large data volumes indicated by experience with Big Data platforms (Teradata,
Netezza, Vertica or Cloudera, Hortonworks, SAP HANA, Cassandra, etc.).
• Understanding of data warehousing concepts and decision support systems.
• Ability to deal with sensitive and confidential material and adhere to worldwide data security and Experience
writing documentation for design and feature requirements.
• Experience developing data-intensive applications on cloud-based architectures and infrastructures
such as AWS, Azure etc.
• Excellent communication and collaboration skills.
Salary Upto : 30% Hike from Current Salary[ As per Industry Standard]