Lead Data Engineer
1 week ago
1 day ago Be among the first 25 applicants
Direct message the job poster from Devflovv
Recruitment Specialist @Devflovv | Connecting Top Tech Talent with Opportunities | Leveraging Mass Communication Skills for Exceptional Candidate…We're looking for a Lead Data Engineer to own the design, development, and scaling of data infrastructure across cloud platforms. This role is critical to powering analytics, automation, and AI initiatives. You'll work closely with cross-functional teams—including product, engineering, and data science—to ensure high-quality, accessible, and reliable data pipelines and platforms.
What You'll Do- Architect and Build Systems: Design and lead the implementation of scalable, cloud-based data pipelines and infrastructure.
- Manage Cloud Environments: Own and operate data infrastructure on cloud platforms—preferably Google Cloud Platform (GCP).
- Develop Pipelines: Build and manage data pipelines from first-party and third-party sources, ensuring data integrity and performance.
- Support MLOps: Enable machine learning workflows through reliable data ingestion, monitoring, and serving pipelines.
- Automate Deployments: Set up and maintain CI/CD pipelines for smooth and efficient delivery of data products.
- Collaborate Across Functions: Work closely with engineers, analysts, and product teams to ensure data is accurate, accessible, and aligned with business goals.
- Optimize Warehousing: Administer and fine-tune cloud data warehouses (e.g., BigQuery, Redshift, Snowflake) for both real-time and batch workloads.
- Oversee Integrations: Coordinate with third-party software and data providers for seamless integration and maintenance.
- Lead and Mentor: Provide technical leadership to team members and contribute to a strong, knowledge-sharing engineering culture.
- Innovate Constantly: Evaluate and introduce new tools, frameworks, and workflows to improve data systems and business outcomes.
- Own the Lifecycle: Drive projects from initial concept to deployment, scaling, and long-term support.
- 10+ years of experience in data engineering and cloud infrastructure, with 2+ years in a senior or lead role.
- Strong expertise in cloud architecture, especially on GCP; experience with AWS or Azure is a plus.
- Advanced proficiency in SQL and Python for data transformation and automation.
- Hands-on experience with cloud data warehouses like BigQuery, Snowflake, or Redshift.
- Proven ability to build and manage scalable pipelines for structured and unstructured data.
- Solid understanding of MLOps workflows and tools.
- Experience with CI/CD practices in data environments.
- Strong communication and collaboration skills.
- Ability to thrive in fast-paced, evolving environments and drive clarity in ambiguity.
- Familiarity with marketing and eCommerce data sources (e.g., APIs from Google Analytics, Meta Ads, Shopify, TikTok, etc.)
- Experience with orchestration tools like Apache Airflow.
- Knowledge of Docker, Kubernetes, and containerized workloads.
- Understanding of data security and compliance in cloud environments.
- Background in agile development and product-led engineering.
- Exposure to AI/ML frameworks like TensorFlow, scikit-learn, or PyTorch.
Location: Royal Plaza, Block B, LDA Avenue Phase 1, LDA Avenue, Lahore, 55150
Job Type: On-site, Full-time
Working Hours: 3:00 PM – 12:00 AM (Pakistan Standard Time)
Seniority level- Mid-Senior level
- Full-time
- Information Technology
- IT Services and IT Consulting
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