Senior Data Engineer

Position: Full-time / Employee Location: Remote-first 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