Lumiq.ai
Lead Data Engineer
- Compensation
- Not disclosed
- Location
- Noida
- Work setup
- Not specified
- Seniority
- Lead
- Employment
- Not specified
- Experience
- 6+ years
- Category
- Data engineering
- Posted
Skills
Must have
- 6-10 years of experience in Data Engineering.
- Strong hands-on experience with AWS, PySpark, Airflow, and SQL.
- Expertise in building ETL/ELT pipelines and data platforms.
- Experience with Docker, Kubernetes, Hadoop, Spark.
- Knowledge of Data Warehousing, Data Lakes, and modern data architectures.
- Exposure to Hudi, Iceberg, or Delta Lake is preferred.
- Prior experience leading and mentoring a team of Data Engineers.
- Strong problem-solving and stakeholder management skills.
Full description
We are looking for an experienced Lead Data Engineer to join our growing team. The ideal candidate will have strong expertise in AWS, PySpark, Airflow, SQL, and Data Engineering, along with experience leading engineering teams and delivering scalable cloud-based data solutions.
Responsibilities:
- Lead and mentor a team of Data Engineers.
- Design and develop scalable cloud-based data solutions on AWS.
- Build and optimise data pipelines, ETL processes, and data models.
- Ensure data quality, security, and performance.
- Collaborate with cross-functional teams to deliver business-critical data solutions.
Requirements:
- 6-10 years of experience in Data Engineering.
- Strong hands-on experience with AWS, PySpark, Airflow, and SQL.
- Expertise in building ETL/ELT pipelines and data platforms.
- Experience with Docker, Kubernetes, Hadoop, Spark.
- Knowledge of Data Warehousing, Data Lakes, and modern data architectures.
- Exposure to Hudi, Iceberg, or Delta Lake is preferred.
- Prior experience leading and mentoring a team of Data Engineers.
- Strong problem-solving and stakeholder management skills.