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.
Lead the design, development, and deployment of data engineering solutions using Databricks and PySpark.
Develop scalable ETL/ELT pipelines and data transformation frameworks.
Write efficient 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.
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.
Source: Infosys careers — Read the original posting and apply
This role is listed by the employer on its own careers site. Kaam Ki Khoj does not process applications for it.
Infosys is an employer in the IT/Computers - Software, Software Services sector with operations in India. This is a directory listing maintained by Kaam Ki Khoj so that candidates can find the organisation; it is not an official company page and Kaam... Read More
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