Job Description:

- We are seeking a highly skilled Team Lead Data Engineering with 7 9 years of experience in designing and developing scalable data solutions using Databricks PySpark and Python
- The candidate will be responsible for leading a small team driving technical delivery and building high performance data pipelines for enterprise analytics platforms

Key Responsibilities:

- Lead the design development and deployment of data engineering solutions using Databricks and PySpark
- Develop scalable ETL ELT pipelines and data transformation frameworks
- Write effective Python and SQL code for data processing and analytics
- Work closely with stakeholders to understand business requirements and translate them into technical solutions
- Optimize Spark jobs for performance scalability and cost efficiency
- Ensure data quality governance and security standards are followed
- Review code mentor team members and provide technical guidance




- Support production deployments incident troubleshooting and root cause analysis
- Participate in Agile ceremonies and drive sprint deliverables

Technical Requirements:

- 7 9 years of overall IT experience
- Strong hands on expertise in Databricks and PySpark
- Proficiency in Python programming and SQL
- Experience building enterprise scale data pipelines and data lake solutions
- Strong understanding of distributed computing concepts and Spark architecture
- Experience in performance tuning and optimization
- Excellent stakeholder management and team coordination skills

Preferred Skills: Technology->Data Engineering->Databricks,Technology->AI-Data science->PYTHON,Technology->Big Data - Data Processing->PySpark

📌 Databricks, PySpark, Python - Data Engineer (India)
🏢 Infosys
📍 India