Data Engineering Manager​

Job Description Summary

We are seeking a highly skilled and motivated GCP Data Engineering Manager to join our dynamic team. As a Data Engineering manager specializing in Google Cloud Platform (GCP), you will play a crucial role in designing, implementing, and maintaining scalable data pipelines and
systems. You will leverage your expertise in Google Big Query, SQL, Python, and analytical skills to drive data-driven decision-making processes and support various business functions.​

Job Description

Key Responsibilities:​

• Data Pipeline Development: Design, develop, and maintain robust data pipelines using GCP services like Dataflow, Dataproc, ensuring high performance and scalability.​
• Google Big Query Expertise: Utilize your hands-on experience with Google Big Query to manage and optimize data storage, retrieval, and processing.​
• SQL Proficiency: Write and optimize complex SQL queries to transform and analyze large datasets, ensuring data accuracy and integrity.​
• Python Programming: Develop and maintain Python scripts for data processing, automation, and integration with other systems and tools.​
• Data Integration: Collaborate with data analysts, and other stakeholders to integrate data from various sources, ensuring seamless data flow and consistency.​
• Data Quality and Governance: Implement data quality checks, validation processes, and governance frameworks to maintain high data standards.​
• Performance Tuning: Monitor and optimize the performance of data pipelines, queries, and storage solutions to ensure efficient data processing.​
• Documentation: Create comprehensive documentation for data pipelines, processes, and best practices to facilitate knowledge sharing and team collaboration.

Minimum Qualifications:​

• Proven experience (minimum 6 – 8 yrs) in Data Engineer, with significant hands-on experience in Google Cloud Platform (GCP) and Google Big Query.​
• Proficiency in SQL for data transformation, analysis and performance optimization.​
• Strong programming skills in Python, with experience in developing data processing scripts and automation.​
• Proven analytical skills with the ability to interpret complex data and provide actionable insights.​
• Excellent problem-solving abilities and attention to detail.​
• Strong communication and collaboration skills, with the ability to work effectively in a team enviro

Desired Skills :​

• Experience with Google Analytics data and understanding of digital marketing data.​
• Familiarity with other GCP services such as Cloud Storage, Dataflow, Pub/Sub, and Dataproc.​
• Knowledge of data visualization tools such as Looker, Tableau, or Data Studio.​
• Experience with machine learning frameworks and libraries.

Skills Desired

Agility, Analytical Thinking, Brand Awareness, Building Construction, Business Analytics, Cross-Functional Collaboration, Digital Marketing, Marketing Strategy, Media Campaigns, Sales, Stakeholder Engagement, Stakeholder Management, Strategic Marketing, Waterfall Model

Experience Level

Mid Level