AWS Data Engineer (Mid-Level)

Design and develop robust data pipelines across streaming and batch environments

Lead engineering best practices including CI/CD, testing, and automation

Contribute to architecture discussions and cloud migration strategies

Collaborate with clients to define requirements and deliver innovative solutions

Support internal capability development by sharing your expertise and experience

Strong hands-on experience with Python, Java, or Scala

Proficiency in AWS cloud environments and big data tech (Spark, Hadoop, Airflow)

Solid understanding of SQL, ETL/ELT approaches, and data modelling techniques

Experience building CI/CD pipelines with tools like Jenkins or CircleCI

Knowledge of data security protocols and distributed system design

Experience with messaging systems (Kafka, Spark Streaming, Kinesis)

Familiarity with schema design and semi-structured data formats

Exposure to containerisation, graph databases, or machine learning concepts

Proficiency with cloud-native data tools (BigQuery, Redshift, Snowflake)

Enthusiasm for learning and experimenting with new technologies