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-paced, dynamic environment and manage multiple
priorities.
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