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
Experience : 8 - 10 Years
No. of Openings : 2
Education : Any Bachelor Degree, B.Tech/B.E
Role : Data Engineer
Industry Type : IT-Hardware & Networking / IT-Software / Software Services
Gender : [ Male / Female ]
Job Country : India