Analyzing business and system requirements, and define optimal data warehouse and data pipeline design for fulfilling them
Building scalable, performant, supportable and reliable data pipelines
Should have very clear understanding of Snowflake Architecture
Analyzing business and system requirements, and define optimal data pipeline design for fulfilling them
Architect with enterprise level experience of implementing a scalable setup on Azure
Building scalable, performant, supportable and reliable data pipelines
Assess Data Warehouse implementation procedures to ensure they comply with internal and external regulations
Define data security and data access controls and design
Oversee the migration of data from legacy systems to novel solutions
Ability to optimize data systems as well as building them from the ground up
Setting up new, and monitoring of existing metrics, analyzing data, and in cooperation with other Data & Analytics team members identifying and implementing system and process improvements
Working closely with data architects and data analysts
To collaborate across different teams/geographies/stakeholders/levels of seniority
Have Customer focus with an eye on continuous improvement
Supporting Agile way of working using SCRUM framework
To collaborate across different teams/geographies/stakeholders/levels of seniority
Qualifications/Experience
The ideal candidate will have a Bachelor’s, Master’s Degree in Mathematics or Computer Science with at least 6 years of professional experience working on data sets and building data pipelines, and familiar with the following software /tools/techniques:
2+ Year Hands on experience on Snowflake
3+ Years Hands on experience of Python Programming
Knowledge of SQL, Unix & advanced Unix Shell Scripting
Experience in GIT, Jenkins, SVN, Build Tools like Ant, Maven etc.
Hands on file transfer mechanism (NDM, sFTP etc)
Knowledge of Schedulers (TWS, Control-M)
Exposure to Data modeling in Snowflake or any other DW with tools like ERWIN
Prior experience on cloud migration projects, especially Teradata to snowflake migration
Working experience of Snowflake on Azure
Hands-on Experience or working knowledge of Spark/Databricks
Working knowledge of Kafka, Ni-fi
Experience of working on Cloud (AWS/Azure/GCP) Data Warehousing Environment
Experience in Telecom background
Energetic, enthusiastic and results-oriented personality
Motivation and ability to perform as a consultant in data engineering projects
Ability to work independently but also within a Team
Strong will to overcome the complexities involved in developing and supporting data pipelines
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