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Known consulting brand, remote option, and mid-level data engineering role increases candidate density.
Big-data engineering skills transfer across industries but require specific platform and cloud experience.
Explicit 6+ years plus mandatory big-data, cloud, and DevOps skills tightens shortlisting.
Lead design and development of end-to-end data and analytics platforms and applications with focus on scalability, maintainability, and performance.
Oversee and mentor engineering teams by reviewing work plans, conducting design/code reviews, estimating technical components, and driving team progress.
Drive major feature deployments, system-wide changes, technical discussions with clients, and innovation initiatives including POCs on niche technologies.
Minimum 6+ years of relevant industry experience in big data and cloud technologies.
Strong expertise with big data tools (Hive, Spark, Hadoop), messaging systems (Apache Kafka/Rabbit MQ/AWS Kinesis), and containerization (Docker, Kubernetes, AWS ECS/ECR).
Experience designing solutions on distributed computing and cloud platforms (AWS, Azure, GCP) along with DevOps, CI/CD, and application monitoring skills.
Fluency in English and willingness for client-facing travel as required; hybrid working model with office and remote presence.
Strategic technical leader with proven ability to architect and implement complex large-scale data transformation programs and cloud solutions.
Experienced mentor capable of enhancing team productivity through reviews, guidance, and fostering learning and innovation culture.
Strong client interaction skills with ability to clearly communicate technical designs and drive consensus in diverse stakeholder groups.