Data Engineer

Overview

Candidate proficiency level: Senior(8+) Python and SQL proficiency along with use of Amazon Redshift for Data Warehousing , Airflow for orchestrating Data pipelines and end to end Data pipeline management.

Responsibilities:

• Design, build and maintain core data infrastructure pieces that allow Aircall to support our many data use cases.
• Enhance the data stack, lineage monitoring and alerting to prevent incidents and improve data quality.
• Implement best practices for data management, storage and security to ensure data integrity and compliance with regulations.
• Own the core company data pipeline, responsible for converting business needs to efficient & reliable data pipelines.
• Participate in code reviews to ensure code quality and share knowledge.
• Lead efforts to evaluate and integrate new technologies and tools to enhance our data infrastructure.
• Define and manage evolving data models and data schemas. Manage SLA for data sets that power our company metrics.
• Mentor junior members of the team, providing guidance and support in their professional development.
• Collaborate with data scientists, analysts and other stakeholders to drive efficiencies for their work, supporting complex data processing, storage and orchestration

A little more about you:

• Bachelor's degree or higher in Computer Science, Engineering, or a related field.
• 5+ years of experience in data engineering, with a strong focus on designing and building data pipelines and infrastructure.
• Proficient in SQL and Python, with the ability to translate complexity into efficient code.
• Experience with data workflow development and management tools (dbt, Airflow).
• Solid understanding of distributed computing principles and experience with cloud-based data platforms such as AWS, GCP, or Azure.
• Strong analytical and problem-solving skills, with the ability to effectively troubleshoot complex data issues.
• Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
• Experience with data tooling, data governance, business intelligence and data privacy is a plus.

Job Type: Full-time

Pay: ₹3,000,000.00 - ₹3,500,000.00 per year

Benefits:

• Health insurance
• Provident Fund

Schedule:

• Day shift
• US shift

Supplemental Pay:

• Performance bonus

Application Question(s):

• How much is your notice period? or your Last working day?

Experience:

• Total: 7 years (Preferred)
• Azure: 5 years (Preferred)

Work Location: Remote