Lead Data Engineer 4C

Accountabilities • Lead and coordinate a team of data engineers in the design, development, and implementation of Big Data solutions.

• Design, build, and maintain scalable, reliable data pipelines and ETL processes to support business and analytical requirements.

• Ensure data quality, integrity, consistency, and security across data platforms and systems.

• Collaborate with business stakeholders and technical teams to understand requirements and translate them into effective data engineering solutions.

• Provide technical direction, guidance, and mentorship to junior data engineers, encouraging best practices and continuous development.

• Monitor, analyze, and troubleshoot data systems to identify performance issues and improve efficiency, reliability, and scalability.

• Oversee data integration and data modeling activities, ensuring solutions are aligned with architectural and business needs.

• Promote secure coding practices and contribute to CI/CD processes for data engineering workflows.

• Develop, maintain, and update technical documentation covering data processes, systems, pipelines, and infrastructure.

• Stay informed about emerging Big Data technologies, tools, and industry trends, identifying opportunities to improve engineering practices and solutions.

Requirements:

• Bachelor's degree in Computer Science, Data Science, Statistics, or a related discipline; a master's degree in Data Science is also relevant.

• Strong professional experience in data engineering, including designing and implementing enterprise-scale Big Data solutions.

• Demonstrated experience leading or guiding data engineering teams and providing technical mentorship.

• Proficiency with Apache Spark, Apache Kafka, and Apache Airflow.

• Experience designing and managing data ETL processes, data pipelines, and integration workflows.

• Knowledge of data modeling, data quality management, and secure data engineering practices.

• Experience with Databricks and Snowflake platforms.

• Familiarity with AWS Data Pipeline and API integration.

• Strong SQL skills and experience with performance tuning and system performance monitoring.

• Experience with CI/CD practices, Git, and infrastructure automation using Terraform.

• Ability to translate business requirements into scalable technical solutions and collaborate effectively with stakeholders.

• Strong analytical, troubleshooting, communication, and leadership skills.

• Proficiency in English at C2 level.

Relevant Certifications:

• Certified Data Management Professional.

• Databricks Certified Associate Developer for Apache Spark 3.0.

• Databricks Certified Associate Developer for Apache Spark.

• Microsoft Certified: Azure Data Engineer Associate.

• Oracle Database 12c Certified Implementation Specialist.

Benefits:

• Fully remote work arrangement within India.

• Full-time, regular employment.

• Opportunity to lead data engineering initiatives supporting global enterprise transformation.

• Exposure to advanced Big Data technologies and AI-driven innovation.

• Mentorship and professional development opportunities.

• Access to learning resources and opportunities to expand technical expertise.

• Collaborative environment with experienced technology professionals.

• Inclusive, values-driven workplace focused on integrity, innovation, and continuous learning.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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