Data Engineer

Job Description

Job Description

- Develop and maintain data pipelines, ELT processes, and workflow orchestration using Apache Airflow, Python and PySpark to ensure the efficient and reliable delivery of data.
- Design and implement custom connectors to facilitate the ingestion of diverse data sources into our platform, including structured and unstructured data from various document formats .
- Collaborate closely with cross-functional teams to gather requirements, understand data needs, and translate them into technical solutions.
- Implement DataOps principles and best practices to ensure robust data operations and efficient data delivery.
- Design and implement data CI/CD pipelines to enable automated and efficient data integration, transformation, and deployment processes.
- Monitor and troubleshoot data pipelines, proactively identifying and resolving issues related to data ingestion, transformation, and loading.
- Conduct data validation and testing to ensure the accuracy, consistency, and compliance of data.
- Stay up-to-date with emerging technologies like GenAI/LLM technologies and best practices in data engineering.
- Document data workflows, processes, and technical specifications to facilitate knowledge sharing and ensure data governance.

Requirement:

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

- 8-10 years experience in data engineering, ELT development, and data modeling.

- Proficiency in using Apache Airflow and Spark for data transformation, data integration, and data management.

- Experience implementing workflow orchestration using tools like Apache Airflow, SSIS or similar platforms.

- Demonstrated experience in developing custom connectors for data ingestion from various sources.

- Strong understanding of SQL and database concepts, with the ability to write efficient queries and optimize performance.

- Experience implementing DataOps principles and practices, including data CI/CD pipelines.

- Excellent problem-solving and troubleshooting skills, with a strong attention to detail.

- Effective communication and collaboration abilities, with a proven track record of working in cross-functional teams.

- Familiarity with data visualization tools Apache SuperSet and dashboard development.

- Understanding of distributed systems and working with large-scale datasets.

- Familiarity with data governance frameworks and practices.

- Knowledge of data streaming and real-time data processing technologies (e.g., Apache Kafka).

- Strong understanding of software development principles and practices, including version control (e.g., Git) and code review processes.

- Experience with Agile development methodologies and working in cross-functional Agile teams.

- Ability to adapt quickly to changing priorities and work effectively in a fast-paced environment.

- Excellent analytical and problem-solving skills, with a keen attention to detail.