Expert Data Engineer

ESSENTIAL SKILLS:

• Hands-on experience with Kafka and event streaming platforms for real-time data movement.
• Proven experience with API integration patterns, webhooks and event/webhook ingestion.
• Strong proficiency in Python for data engineering, ingestion pipelines and automation.
• Strong proficiency in Java for stream processing or connector development.
• Solid competence with enterprise databases and query languages, including performance tuning and query optimization for OLTP/operational workloads.
• Experience with NoSQL/document stores such as Amazon DynamoDB, MongoDB.
• Experience in data modelling to design schemas and standardized data representations.
• Experience with schema registries and contract-first designs (Avro, Protobuf) to manage producer/consumer compatibility.
• Strong understanding and practice of data quality techniques and tooling to ensure trusted data.
• Knowledge of metadata management and cataloging to support discoverability and lineage.
• Familiarity with ETL/ELT patterns and best practices for performant, reliable data pipelines.
• Observability for streaming: experience with metrics, tracing and logging on AWS (CloudWatch, OpenTelemetry, Prometheus/Grafana).

ADVANTAGEOUS SKILLS:

• Awareness of frontend frameworks (e.g., Angular) to better understand downstream consumers.
• Experience operating container platforms and orchestration (Kubernetes/EKS) for scalable stream processing on AWS.
• Familiarity with enterprise systems like SAP and working with their integration interfaces.
• Experience with big data ecosystems (e.g., EMR, S3, Hadoop) and distributed storage/processing on AWS.
• Working knowledge of AWS analytics/data platform services (Glue, Athena, Kinesis, Redshift, Lake Formation, MSK).
• Knowledge of message delivery semantics, partitioning strategies and capacity planning for high-throughput pipelines on AWS.

QUALIFICATIONS/EXPERIENCE:

• Extensive hands-on experience (typically 6+ years) in data engineering, integration or streaming roles with demonstrable production experience.
• Proven track record building and operating streaming platforms (Kafka/MSK) and API-based integrations, with strong Python and Java skills and experience with enterprise databases and query languages.
• Strong analytical thinking, curiosity about data, attention to detail, structured problem solving and ownership — able to drive topics to completion.
• Preferred certifications: Confluent Certified Developer for Apache Kafka, Microsoft streaming eventhubs, AWS Certified Data Engineer.

Benefits

• Cutting edge global IT system landscape and processes.
• Flexible working of 1960 hours in a 12-month period.
• High Work-Life balance.
• Remote / On-site work location flexibility.
• Highly motivating, energetic, and fast-paced working environment.
• Modern, state-of-the-art offices.
• Dynamic Global Team collaboration.
• Application of the Agile Working Model Methodology.