Position: Lead Data Engineer Location: Experience: 10+ years

We are seeking an experienced Senior Data Engineer with a solid background in PySpark, Spark, and Big Data technologies. The ideal candidate will have over five years of hands-on experience designing, building, and optimizing large-scale data processing systems and pipelines.

Design, develop, and maintain scalable data pipelines and ETL processes using PySpark and Spark.
Perform data wrangling, transformation, and integration across diverse data sources.
Optimize the performance and reliability of data processing workflows.
Implement data quality frameworks to ensure data accuracy and integrity.
Develop and maintain data architectures and data models to support business needs.
Collaborate with cross-functional teams including data analysts, software engineers, and business stakeholders to understand data requirements.
Stay updated with the latest advancements in Big Data tools, frameworks, and best practices.




Mentor and guide junior data engineers in technical and qualified growth.

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
5+ years of experience in data engineering roles.
Expertise in PySpark and Spark for large-scale data processing.
Robust understanding of Big Data ecosystems and technologies (e.g., Hands-on experience with ETL development, data modeling, and data warehousing.
Proficiency in programming languages such as Python, Scala, or Java.
Experience with cloud platforms like AWS, Azure, or Google Cloud.
Experience with containerization and orchestration tools like Docker and Kubernetes.

Knowledge of SQL and relational database management systems.
Familiarity with data orchestration tools like Airflow, Prefect, or similar.

📌 Lead Data Engineer Sql Aws Bengaluru (India)
🏢 Spiro Lifecare
📍 India