Data Engineer

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.

Benefits

• Health insurance
• Paid time off
• Parental leave
• Professional development assistance
• Referral program