Join our team as a Data Engineer (ETL and Data Modelling) and contribute to our mission of leveraging data to drive meaningful insights and deliver innovative solutions for our clients. We are looking for a seasoned Data Engineer with a minimum of 3-5 years of experience and expertise in designing and building robust, scalable data pipelines using modern data engineering tools and frameworks.

Requirements

Bachelor’s degree in computer science, Information Systems, or a related field. Master’s degree is a plus.
A seasoned Data Engineer with a minimum of 3-5 years of experience.

Deep experience in designing and building robust, scalable data pipelines – both batch and real-time using modern data engineering tools and frameworks.
Proficiency in AWS Data Services (S3, Glue, Athena, EMR, Kinesis etc.).
Strong grip on SQL queries, various file formats like Apache Parquet, Delta Lake, Apache Iceberg or Hudi and CDC patterns.

Experience in stream processing frameworks like Apache Flink or Kafka Streams or any other distributed data processing frameworks like pySpark.
Expertise in workflow orchestration using Apache Airflow.
Strong analytical and problem-solving skills, with the ability to work independently in a fast-paced environment.
In-depth knowledge of database systems (both relational and NoSQL) and experience with data warehousing concepts.

Hands-on experience with data integration tools and a strong familiarity with cloud-based data warehousing and processing is highly desirable.
Excellent communication and interpersonal skills, facilitating effective collaboration with both technical and non-technical stakeholders.
A strong desire to stay current with emerging technologies and industry best practices in data landscape.