Data Engineering Lead

- Lead the design, development, and implementation of ETL processes to ensure efficient data flow and integration.
- Utilize Python to build robust data pipelines and automate data processing tasks.
- Collaborate with cross-functional teams to understand data requirements and deliver high-quality data solutions.
- Optimize and maintain existing data architectures for scalability and performance.
- Ensure data quality and integrity through rigorous testing and validation processes.

Minimum Qualifications:
- Bachelor's degree in Technology (Btech) or a related field.
- Proven experience (5-8 years) in data engineering with a strong focus on Python and ETL processes.
- Proficiency in SQL for data manipulation and querying.
Preferred Qualifications:
- Experience in leading data engineering projects and teams.
- Strong analytical and problem-solving skills with a focus on data-driven decision making.
- Familiarity with cloud platforms and big data technologies.
- Excellent communication skills for effective collaboration with stakeholders.
- Ability to adapt to new technologies and continuously improve data engineering practices.
Good to have skills:
Flask, Pandas, Data Analysis, Cloud Platforms, Big Data Technologies

Join our dynamic team as a Data Engineer, where you'll play a pivotal role in shaping the future of data management and analytics. We are looking for a passionate individual who thrives in a collaborative environment and is eager to tackle complex data challenges. As a Technology Lead, you'll have the opportunity to lead projects, innovate with cutting-edge technologies, and make a significant impact on our data-driven strategies. If you're excited about transforming data into actionable insights and driving business success, this is the perfect opportunity for you!