Senior Data Engineer

We are looking for strong engineers with solid experience in AWS, Spark/PySpark, data pipelines, and distributed data processing who are open to new opportunities and future project engagements.

Requirements

Must have

• 5+ years of commercial experience in Data Engineering
• Strong experience with AWS
• Hands-on experience with Spark / PySpark
• Experience building and maintaining data pipelines and ETL/ELT processes
• Experience with AWS S3
• Experience with Kafka, Kinesis, or similar streaming technologies
• Good knowledge of SQL and experience with PostgreSQL, MySQL, Redshift, or similar databases
• Experience with DynamoDB or other NoSQL databases
• Experience working with containerized applications, ideally AWS ECS / Fargate
• Strong understanding of distributed data processing and scalable data architectures
• Good English communication skills

Nice to have

• AWS Glue
• Amazon EMR
• AWS Batch
• AWS Step Functions
• Apache Flink
• Apache Beam
• Cassandra / ScyllaDB
• Experience with real-time data processing
• Experience with cloud-based data platforms

What we’re looking for

• Strong problem-solving and analytical skills
• Ability to work independently and take ownership of technical tasks
• Experience designing and improving data pipelines
• Ability to work with large-scale datasets
• Good communication and collaboration skills
• Willingness to work on different international projects depending on your experience and expertise