lead Data Engineer

2 weeks ago

New Delhi, India Cozzera Full time

Job Title: Lead Data EngineerExperience: 8–10 YearsLocation: Remote ( 1 week from noida office then remote)Job Overview:We are looking for an accomplished Lead Data Engineer with 8–10 years of experience inarchitecting, building, and managing complex data ecosystems using Python, Databricks(Delta Lake, Spark, MLflow), and modern orchestration frameworks. The candidate shouldpossess strong leadership and technical acumen to drive data strategy, pipelineoptimization, and AI/ML workflow automation across large-scale projects.The role involves architecting scalable data solutions, ensuring data governance andcompliance (HIPAA, SOC 2, GDPR), and mentoring data engineering teams to deliver highperformance solutions in healthcare or life sciences domains.Key Responsibilities:- Lead the architecture, design, and implementation of scalable and reliable datasolutions using Databricks, Delta Lake, and Spark.- Oversee the development and optimization of ETL/ELT pipelines using Python andmodern orchestration tools (Airflow, Prefect, Dagster).- Drive data platform modernization and migration to cloud-native architectures(AWS, Azure, or GCP).- Collaborate with Data Scientists, Analysts, and Architects to enable advancedanalytics and ML model deployment using MLflow.- Establish and enforce data engineering standards, best practices, and code reviewsacross teams.- Ensure data governance, lineage, and compliance with regulatory frameworks(HIPAA, SOC 2, GDPR).- Manage performance tuning, cost optimization, and scalability planning for dataworkflows.- Mentor and guide junior data engineers, fostering a culture of technical excellence. - Partner with stakeholders to align business objectives with data strategy and deliveryroadmap.Technical Skills Required:- Languages: Python, SQL, PySpark - Data Platforms: Databricks, Delta Lake, MLflow, Apache Spark - Workflow Orchestration: Airflow, Prefect, Dagster - Cloud Platforms: AWS, Azure, or GCP (with focus on data services) - Data Architecture: Data Lakes, Warehouses, and Streaming Architectures - DevOps & Version Control: Git, Jenkins, Terraform, CI/CD pipelines - Governance & Security: HIPAA, SOC 2, GDPR compliance expertise - Nice to Have: Knowledge of Kafka, dbt, and Infrastructure-as-Code (IaC) toolsSoft Skills:- Proven leadership and mentorship capabilities - Excellent communication and client interaction skills - Strategic mindset with strong analytical and problem-solving ability - Ability to manage multiple projects and distributed teams in Agile environmentsEducation:- Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related fieldChances of ClosureYes

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