Data Engineer

Benefits: Health Insurance, work-from-anywhere stipend, annual wellness & learning credits, annual all-expenses-paid company retreat in a gorgeous destination & other benefits

The Senior Data Engineer will play a key role in designing, debating and implementing our strategic data architecture  and ensuring reliable and efficient data flows across the platform. You will develop, automate, and maintain data pipelines, enhancing the efficiency and reliability of our data systems. Your expertise will be crucial in optimizing data engineering workflows and upholding the highest standards of data governance and security.

Responsibilities include but are not limited to:

• Lead data architecture discussions and design scalable, reliable data systems that support our growing business needs

• Build and maintain production-grade data pipelines using modern data stack tools and methodologies

• Partner with cross-functional teams to deliver data solutions that drive business value

• Mentor team members and contribute to our culture of continuous learning and knowledge sharing

• Ensure data quality, privacy, and governance standards across all data initiatives

Must have:

• Bachelor's degree in Computer Science, Engineering, Statistics, Information Systems, or another quantitative field

• 5+ years of professional experience as a Data Engineer or Software Engineer in data-rich organizations

• 3+ years specifically in data engineering, with experience leading data architecture discussions and technical decision-making

• Experience with a major cloud platform (AWS/GCP etc), ideally with some exposure to Infrastructure as Code or remote configuration tools.

• Hands-on experience with cloud-native data warehouses such as BigQuery (preferred),  Snowflake, Redshift,  and data lakes architectures

• Experience with transformation tools like dbt, and distributed data processing frameworks such as Apache Spark or Apache Flink.

• Strong coding experience in Python/Scala and advanced SQL knowledge across relational and non-relational databases

• Maintain and optimize high-performance data pipelines with comprehensive CI/CD automation, implementing observability frameworks (metrics, logging, distributed tracing) and data quality gates to ensure pipeline freshness, accuracy, and completeness

• Drive data-platform architecture decisions by turning ambiguous problems into technical designs and project plans and taking ownership of the end-to-end solutions.

• Strong communication skills to effectively partner with stakeholders across the organization

• Proven ability to work independently while collaborating effectively in team environments

Good to have

• Experience working with Internet and technology companies

• Experience working with Telco, MNOs & MNVOs

• Experience working in a fast-paced scale up environment