AWS Data Engineer/ Data Bricks/Pyspark
Summary
Lead the design and development of scalable data processing applications using Python, PySpark, Databricks, AWS, and Kafka—90% hands-on engineering with 10% team mentoring.
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 fast-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.
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