Senior Technical Architect

1 week ago

Allahabad, Uttar Pradesh, India beBeeData Full time ₹ 18,00,000 - ₹ 24,00,000
Job Description

We are looking for a skilled Senior Lead Engineer to join our Commercial Data team in Advertising. The successful candidate will be responsible for leading the design, development, and optimization of features to ensure high-quality, scalable solutions that deliver exceptional user experiences.

The ideal candidate will have well-versed experience in SQL, Python, ETL/ELT pipelines, data modelling, data pipelines, data consumption, data analysis and documentation, and data warehousing. Additionally, they should have advanced skills in designing solutions that scale and perform for millions of users, as well as developing long-term system architecture strategies.

The successful candidate will collaborate closely with cross-functional teams across the globe, mentoring other engineers in a collaborative agile team environment and providing technical guidance and support where needed.

Required Skills and Qualifications
  • Well-versed in SQL, Python, ETL/ELT pipelines
  • Experience with data modelling
  • Experience with data pipelines
  • Experience with data consumption
  • Experience with data analysis and documentation
  • Experience with data warehousing
  • Advanced skills in designing solutions that scale and perform for millions of users
  • Advanced skills in developing long-term system architecture strategies
  • Experience with modern software development techniques (e.g. functional programming, microservice architecture, test-driven development and CI/CD)
Benefits

The successful candidate will have the opportunity to work with cutting-edge technologies alongside talented individuals from diverse backgrounds, fostering a dynamic and collaborative environment. They will also have access to ongoing training and professional development opportunities to help them grow in their career.

Others

Bonus points will be given to candidates with experience in Big Query, PostgreSQL, MSSQL, Python libraries (Pandas, Requests, JSON), Docker, Kafka, Linux shell scripting, Git/GitHub, AWS (S3, Lambda, IaC), Airflow, and interacting with REST APIs.

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