Decision Point - Data Engineer

Design for database and data pipeline/ETL using existing and emerging technologies and tools.

- Exposure on the reporting and dashboarding solutions using innovative packaged and custom-built tools like chatbots etc.

- Drive the team to develop operationally efficient analytic solutions.

- Manage multiple teams and projects.

- Define standards, methodologies for Data Management environment.

- Design and build data structures on RDBMS like SQLServer, Mysql as well as MPP platform like SPARK, BigQuery to provide efficient reporting and analytics capability.

- Design and build highly scalable data pipelines using new generation tools and technologies like Spark, Nifi to induct data from various systems as well as existing solutions like SSIS, knime etc.

- Translate complex business requirements into scalable technical solutions meeting data warehousing design standards. Solid understanding of analytics needs and proactive-ness to build generic solutions to improve the efficiency.

An ideal candidate will be/have:

- Bachelor's Degree in Engineering

- Previous involvement with creating ETL pipelines and BI solutions

- Working knowledge of BI tools like Power BI tableau etc

- Ability to write complex queries and design databases

- Strong coding skills in a language such as Python

- Experience with at-least one Cloud platform of the following Azure, AWS, GCP

- Strong problem-solving ability

- Project Management skills

- Team Management skills