Data Engineer - 30 Days NP

Job Description

Experience Required: 48 yrs.

Knowledge on Data Modelling Data warehouse and Data Analysis is also required.

Immediate requirement: 1520 days joiner only.

Data Engineer

Key Skills: Azure Data Factory Pyspark T/SQL PL/SQL Exposure on other ETL Tools like SSIS Databricks Looker

• Data Engineering

• Create and maintain optimal data pipeline architecture

• Design and develop Data Warehouse solutions

• Assemble large complex data sets that meet functional / nonfunctional business requirements.

• Identify design and implement internal process improvements: automating manual processes optimizing data delivery redesigning infrastructure for greater scalability etc.

• Build the infrastructure required for optimal extraction transformation and loading of data from a wide variety of data sources using cloudbased technologies.

• Migrate onprem processes from backoffice systems to the Cloud (Azure or Salesforce).

• Configure analytics tools that utilize the data pipeline to provide actionable insights into quality operational efficiency and other key metrics.

• Work with stakeholders including the Product Data Finance and Software Engineering teams to assist with datarelated technical issues and support their data needs.

• Keep data separated and secure

• Implement data tools for analytics data scientist and AI team members that assist them in building and optimizing current and new products.

• Work with data and analytics experts to strive for greater functionality in our data systems.

Experience in Looker is mandatory.

Additional Information

Required Qualification

Master of Computer Applications (M.C.A.) Bachelor of Engineering Bachelor of Technology (B.E./B.Tech.) Bachelor of Computer Science (B.Sc. (Computer Science))