Data Engineer

Job Description:

What will you do?

• Design, develop and own robust data pipelines, ensuring optimal performance, scalability, and

maintainability.

• Design and implement Data Lake, Dare Warehouse and Lakehouse solutions with different

architecture patterns.

• Ensure data quality, integrity and governance across all stages of data lifecycle.
• Monitor and optimize performance of data engineering pipelines.
• Contribute to design principles, best practices, and documentation.
• Collaborate closely with cross-functional teams to deeply understand business requirements,

translating them into effective technical design, implementations that support the organization's

data-driven initiatives.

• Provide mentorship and guidance to other team members of the data engineering team, promoting

knowledge transfer, a culture of continuous learning and skills development.

We are looking for:

• 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 5-8 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.