Lead Data Engineer
Lead Data Engineer
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Job Description
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Job Overview:
We are seeking an experienced and dynamic Lead Data Engineer to join our team. This role offers a unique opportunity to lead and mentor a talented team of data engineers drive the design and implementation of scalable data solutions and play a key role in shaping our data infrastructure and strategy.
Responsibilities:
- Team Leadership: Provide technical leadership and mentorship to a team of data engineers fostering a collaborative and innovative environment focused on delivering highquality solutions.
- Architectural Design: Lead the design and implementation of scalable robust and maintainable data architectures ensuring alignment with business goals and future scalability requirements.
- Data Pipeline Development: Oversee the development and optimization of ETL pipelines to extract transform and load data from diverse sources into data warehouses and other storage systems.
- Data Modeling: Define and implement data models and schemas to support business requirements optimizing for performance flexibility and scalability.
- Data Governance and Quality: Establish and enforce data governance policies and best practices to ensure data quality integrity and security across all data assets.
- Technological Innovation: Stay abreast of emerging technologies and trends in data engineering and analytics evaluating their potential impact and leading initiatives to adopt relevant technologies.
- CrossFunctional Collaboration: Collaborate closely with data scientists analysts and business stakeholders to understand data requirements deliver actionable insights and drive datadriven decisionmaking.
- Performance Optimization: Monitor and optimize data pipelines databases and data processing systems for performance scalability and efficiency identifying and addressing bottlenecks and optimization opportunities.
- Documentation and Best Practices: Develop and maintain documentation standards and best practices for data engineering processes ensuring knowledge sharing and maintainability.
- Project Management: Lead data engineering projects from conception to completion including project planning resource allocation and stakeholder communication.
Qualifications:
- Bachelors or masters degree in Computer Science Engineering Information Systems or a related field.
- 7 years of proven experience in a data engineering role with demonstrated expertise in designing and implementing scalable data solutions.
- Strong proficiency in programming languages such as Python SQL or Java as well as experience with data manipulation and analysis tools (e.g. Pandas Apache Spark).
- Extensive experience with database technologies (e.g. SQL databases NoSQL databases data warehouses) and ETL frameworks.
- Excellent leadership and communication skills with the ability to inspire and mentor a team collaborate effectively with crossfunctional stakeholders and influence technical decisionmaking.
- Strong problemsolving and analytical abilities with a focus on delivering practical scalable solutions to complex data engineering challenges.
- Experience with cloud platforms (e.g. AWS Azure GCP) and containerization technologies (e.g. Docker Kubernetes) is a plus.
Job Location: Remote/Hybrid/InOffice
Note: To accomplish our vision our Flagship Event IAC VISION 2030 would provide employment and career opportunities for millions of jobready interns freshers and professionals in our Industry Academia Community (IAC).
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Employment Type
Full Time
