Senior Data Engineer - ETL

Requirements:

- Data Engineering, Data Modeling, and Data Warehousing skills.

- Experience with Extract Transform Load (ETL) processes.

- Proficiency in Data Analytics and data-driven decision-making.

- Strong problem-solving and analytical skills.

- Excellent communication and teamwork abilities.

- Experience in Fintech or related industries is a plus.

- Bachelor's degree in Computer Science, Engineering, or related field.

- At least 6 years of experience as a Senior Data Engineer or similar role.

- At least 2 years of experience as a team lead or team manager, or similar role.

- Familiarity with data warehousing concepts and technologies (e. g., Delta Lake).

- Experience in building Big Data Architectures leveraging Spark, Delta Lake, Hadoop, or similar

- Strong programming skills in Python for data manipulation and transformation.

- Proficiency in Apache Spark for distributed data processing - Batch and amp; Real Time.

- Advanced SQL skills for data querying and optimization.

- Experience with workflow management tools like Apache Airflow.

- Understanding of data security and privacy principles.

- Excellent problem-solving and analytical abilities.

- Strong communication and collaboration skills are required to work effectively in a cross-functional team.

- Ability to work in a fast-paced environment and manage multiple projects simultaneously.

- A continuous learning mindset to stay updated with the latest industry trends and technologies.