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Kantar - Lead Engineer - Azure / AWS

KantarBangalore

12 days ago

Job description

Job Summary :

We are looking for a highly motivated Lead Engineer Azure / AWS to lead the development and delivery of cloud-based data solutions. The ideal candidate will have deep expertise in data engineering, strong experience in both Azure and AWS ecosystems, and the ability to drive projects from concept through execution.

Key Responsibilities :

Lead and contribute to multiple concurrent development projects.
Gather requirements and contribute to the design of data systems, data models, and data flows.
Translate business requirements into scalable and efficient technical specifications, including data streams, integrations, transformations, and validation rules.
Design and develop SQL Server objects : tables, views, stored procedures, indexes, triggers, constraints, etc.
Analyze data lineage and data models to support analytics and reporting needs.
Build and maintain scalable, reliable data pipelines on Azure or AWS cloud platforms.
Optimize performance and cost of data platforms across multiple clients.
Implement and enforce data management processes, security, and governance policies.
Conduct performance tuning and query optimization of database systems.
Perform unit and integration testing; ensure data accuracy and system reliability.
Create comprehensive technical documentation.
Mentor and support junior team members; conduct technical training sessions.

Required Qualifications & Skills :

Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

68 years of overall experience in data engineering and software development.

34 years of hands-on experience with Azure and / or AWS cloud platforms.

Proficiency in Python and its libraries such as Pandas for data manipulation and transformation.

Experience fetching and integrating data via APIs into structured formats.

Strong knowledge of SQL Server and advanced database concepts.

Hands-on experience with :

1. Azure : Azure SQL, SQL MI, Synapse Analytics, ADF, Data Lake, Azure Data Catalog.

2. AWS : Redshift, Glue, Athena, Aurora DB.

Familiarity with Spark and big data processing.

Good to have : experience with Databricks, MS Fabric, or GCP.

Solid understanding of data warehousing, data lakes, and dimensional modeling.

Knowledge of data governance, security, and compliance frameworks.

Experience in CI / CD, Test-Driven Development (TDD), and Agile methodologies.

Strong communication skills, problem-solving ability, and a collaborative mindset.

Passion for continuous learning and working on new technologies.

ref : hirist.tech)

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Lead Engineer • Bangalore