Job Title:

Technical Lead - Python/PySpark Data Engineering Location:

Bangalore Experience:

5-10 Years Job Description We are looking for an experienced

Technical Lead

with strong expertise in

Python, PySpark, Databricks, AWS Cloud, SQL, and Apache Kafka

to lead the design, development, and implementation of scalable data engineering solutions. The ideal candidate will have extensive hands-on experience in big data processing, cloud-based data platforms, and real-time streaming architectures. Primary Skills Python PySpark / Apache Spark Databricks AWS Cloud Services SQL / Spark SQL Apache Kafka Secondary Skills Apache Airflow Oracle Database PL/SQL Unix Shell Scripting AutoSys Test-Driven Development (TDD) GitHub Key Responsibilities Design, architect, and develop scalable data processing applications using Python, PySpark, Databricks, and AWS. Build and optimize batch and streaming data pipelines using Apache Kafka and Airflow. Lead end-to-end implementation of Databricks solutions, including architecture, development, deployment, and performance tuning. Develop and maintain complex ETL/ELT solutions for large-scale data platforms. Work closely with business stakeholders, vendors, and cross-functional teams to deliver high-quality solutions. Support production systems, troubleshoot critical issues, and provide timely resolutions.



Perform data modeling, database design, and performance optimization. Mentor junior developers and provide technical leadership to Agile teams. Ensure adherence to best practices in software development, testing, and deployment. Required Qualifications 5-10 years of overall IT experience with strong data engineering expertise. Strong hands-on experience in Python, PySpark, Spark SQL, Databricks, and AWS. Minimum 2+ years of experience with Apache Kafka streaming solutions. Experience with Airflow, Oracle, PostgreSQL, and NoSQL databases. Knowledge of APIs, data integration frameworks, and real-time data streaming. Experience working in Agile environments and version control systems. Excellent analytical, problem-solving, and communication skills. Ability to work independently in a quick-paced, deadline-driven environment. Preferred Qualifications Experience in Banking or Capital Markets domain. Experience leading Agile development teams. Exposure to large-scale enterprise data platforms and cloud migration projects. Note:

This role requires approximately

90% hands-on development, design, and architecture work

and

10% team mentoring and technical leadership responsibilities . Provide your feedback on BizChat

📌 AWS Data Engineer/ Data Bricks/Pyspark (Mumbai)
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