Data Engineering Lead
Healthtech Startup
6 - 10 yrs
₹20L - ₹30L / yr
Bengaluru (Bangalore)
Skills
Google Cloud Platform (GCP)
bigquery
Description:
As a Data Engineering Lead at Company, you will be at the forefront of shaping and managing our data infrastructure with a primary focus on Google Cloud Platform (GCP). You will lead a team of data engineers to design, develop, and maintain our data pipelines, ensuring data quality, scalability, and availability for critical business insights.
Key Responsibilities:
1. Team Leadership:
a. Lead and mentor a team of data engineers, providing guidance, coaching, and performance management.
b. Foster a culture of innovation, collaboration, and continuous learning within the team.
2. Data Pipeline Development (Google Cloud Focus):
a. Design, develop, and maintain scalable data pipelines on Google Cloud Platform (GCP) using services such as BigQuery, Dataflow, and Dataprep.
b. Implement best practices for data extraction, transformation, and loading (ETL) processes on GCP.
3. Data Architecture and Optimization:
a. Define and enforce data architecture standards, ensuring data is structured and organized efficiently.
b. Optimize data storage, processing, and retrieval for maximum
performance and cost-effectiveness on GCP.
4. Data Governance and Quality:
a. Establish data governance frameworks and policies to maintain data quality, consistency, and compliance with regulatory requirements. b. Implement data monitoring and alerting systems to proactively address data quality issues.
5. Cross-functional Collaboration:
a. Collaborate with data scientists, analysts, and other cross-functional teams to understand data requirements and deliver data solutions that drive business insights.
b. Participate in discussions regarding data strategy and provide technical expertise.
6. Documentation and Best Practices:
a. Create and maintain documentation for data engineering processes, standards, and best practices.
b. Stay up-to-date with industry trends and emerging technologies, making recommendations for improvements as needed.
Qualifications
● Bachelor's or Master's degree in Computer Science, Data Engineering, or related field.
● 5+ years of experience in data engineering, with a strong emphasis on Google Cloud Platform.
● Proficiency in Google Cloud services, including BigQuery, Dataflow, Dataprep, and Cloud Storage.
● Experience with data modeling, ETL processes, and data integration. ● Strong programming skills in languages like Python or Java.
● Excellent problem-solving and communication skills.
● Leadership experience and the ability to manage and mentor a team.
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