responsibilities:
- lead data engineering initiatives, providing technical guidance, and mentorship to the
data engineering team.
- drive innovation initiatives, explore new technologies and tools, and propose innovative
solutions to improve efficiency, productivity, and customer satisfaction.
- design and implement robust data pipelines, ensuring scalability, performance, and
reliability.
- demonstrate strong proficiency in sql, including writing complex queries, stored
procedures, and optimizing database performance.
- utilize extensive experience with gcp services like big query, data flow, pub sub, data
stream etc for data storage, querying, and analysis.
- implement data quality checks, monitoring mechanisms, and data governance practices
to ensure high-quality and reliable data.
- collaborate with cross-functional teams to understand data requirements, provide
technical expertise, and deliver impactful data solutions.
- foster a positive and collaborative team environment, conduct technical training
sessions, and mentor team members to enhance their technical skills and career growth.
desired profile:
- proven experience as a data engineer with hands-on experience in data
engineering and leading data engineering initiatives
- strong proficiency in sql
- extensive experience with gcp services like bq , dataflow, pub sub, data stream, and
similar services.
- proficiency in python with data manipulation, scripting, automation, and building data
processing workflows.
- hands-on experience with apache airflow or similar workflow orchestration tools
- terraform and tekton skills are good to have.
- strong problem-solving skills, analytical thinking, and attention to detail
- excellent communication, collaboration, and leadership skills
- ability to work effectively in a fast