Lead Engineer - Custom Platforms, Analytics

Lead Engineer - AWS

KEY RESPONSIBILITIES
o Work on multiple concurrent development projects.
o Participate in requirements gathering, database design, testing and production deployments.
o Analyze system/application requirements and design innovative solutions.
o Translating business requirements to technical specifications— data streams, data integrations, data transformations, databases,
data warehouses & data validation rules.
o Design and develop SQL Server database objects (i.e., tables, views, stored procedures, indexes, triggers, constraints, etc.)
o Analyze and design data flow, data lineage mapping and data models.
o Optimize, scale and reduce the cost of analytics data platforms for multiple clients.
o Adherence to data management processes and capabilities.
o Enforcing compliance with data governance and data security.
o Performance tuning and query optimizations in terms of all the database objects.
o Perform unit and integration testing.
o Create technical documentation, Develop and assist team members, Provides training to the team members.

DESIRED PROFILE
o Graduate(BE/B.Tech)/Masters(ME/M.Tech/MS) in Computer Science or equivalent from a well-known institute with total
experience of 6-8 years and 3 - 4 years of experience on any cloud platform.
o Experience in data modelling and database design.
o Demonstrate proficiency in Python scripting language
o Experience of data handling using Python . Experience on Pandas library . Be able to fetch the data from API's and bring it into
tabular format .
o Working experience on Spark.
o Working experience of Redshift, AWS Glue, Athena and AWS Data Catalog.
o The candidate must have a demonstrated experience in building and maintaining reliable and scalable Data pipeline on cloud
(AWS) for big data platforms.
o Working experience on Azure or GCP will be an added advantage and good to have, Good to have working experience on Aurora
DB
o Solid understanding of database design principles.
o The candidate must also have had experience in data warehousing inclusive of dimensional modeling concepts and data lake
concepts with practical knowledge of Data Modeling and implementation.
o Experience in analyzing very large real-world datasets and hands-on approach in data analytics will be a plus.
o Experience with Test Driven Development, Continuous Integration, Continuous Deployment etc.
o Strong analytical and technical skills, Good verbal and written communication, Flexible to learn and work on new technologies

Lead Engineer - Azure

KEY RESPONSIBILITIES
• Work on multiple concurrent development projects.
• Participate in requirements gathering, database design, testing and production deployments.
• Analyze system/application requirements and design innovative solutions.
• Translating business requirements to technical specifications— data streams, data integrations, data transformations,
databases, data warehouses & data validation rules.
• Design and develop SQL Server database objects (i.e., tables, views, stored procedures, indexes, triggers, constraints, etc.)
• Analyze and design data flow, data lineage mapping and data models.
• Optimize, scale and reduce the cost of analytics data platforms for multiple clients.
• Adherence to data management processes and capabilities.
• Enforcing compliance with data governance and data security.
• Performance tuning and query optimizations in terms of all the database objects.
• Perform unit and integration testing.
• Create technical documentation.
• Develop and assist team members.
• Provides training to the team members.

DESIRED PROFILE
o Graduate(BE/B.Tech)/Masters(ME/M.Tech/MS) in Computer Science or equivalent from a well-known institute with total
experience of 6-8 years and 3 - 4 years of experience on any cloud platform.
o Experience in data modelling and database design.
o Demonstrate proficiency in Python scripting language
o Experience of data handling using Python . Experience on Pandas library . Be able to fetch the data from API's and bring it into
tabular format .
o Working experience on Spark.
o Working experience of Azure SQL, SQLMI, Synapse Analytics, ADF.
o The candidate must have a demonstrated experience in building and maintaining reliable and scalable Data pipeline on cloud
(Azure) for big data platforms.
o Working experience on AWS or GCP will be an added advantage and good to have.
o Good to have working experience on Databricks & MS Fabric
o Solid understanding of database design principles.
o The candidate must also have had experience in data warehousing inclusive of dimensional modeling concepts and data lake
concepts with practical knowledge of Data Modeling and implementation.
o Experience in analyzing very large real-world datasets and hands-on approach in data analytics will be a plus.
o Experience with Test Driven Development, Continuous Integration, Continuous Deployment etc.
o Strong analytical and technical skills.
o Good verbal and written communication.
o Flexible to learn and work on new technologies.

Location

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At Kantar we have an integrated way of rewarding our people based around a simple, clear and consistent set of principles. Our approach helps to ensure we are market competitive and also to support a pay for performance culture, where your reward and career progression opportunities are linked to what you deliver.

We go beyond the obvious, using intelligence, passion and creativity to inspire new thinking and shape the world we live in. Apply for a career that’s out of the ordinary and join us.

We want to create an equality of opportunity in a fair and supportive working environment where people feel included, accepted and are allowed to flourish in a space where their mental health and well being is taken into consideration.

We want to create a more diverse community to expand our talent pool, be locally representative, drive diversity of thinking and better commercial outcomes.

Kantar is the world’s leading data, insights and consulting company. We understand more about how people think, feel, shop, share, vote and view than anyone else. Combining our expertise in human understanding with advanced technologies, Kantar’s 30,000 people help the world’s leading organisations succeed and grow.