Python Lead Developer
Bajaj Technology Services
7 - 10 years
Bengaluru
Posted: 08/01/2026
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Job Description
Experience: 7-10 years
Role: Technical Lead Data Engineering
Responsibilities :
- Own and Operate large scale data ingestion and batch data processing(Spark, Python), data aggregation (DWH, Data Lake) and MIS/Business Intelligene Reporting (Tableau, SQL) platform to ensure high quality data is being ingested in real time from a set of Microservices and Event Driven source applications and deliver a high quality data for MIS and BI reporting which would be further used for financial reconciliations
- Ensure robust data flow between transactional microservices and distributed data platforms (including Kafka, Redis, HBase, ElasticSearch, etc.).
- Provide Technical support to junior data engineers responsible to ensure successful completion of ETL Processes and MIS/BI reports
- Perform data anomaly detection, RCA documentation, code fixes, and enhancements to solve the problems on temporary or permanent basis.
- Oversee monitoring, diagnostics, and proactive maintenance of production and non-production systems
- Drive the development of automation tools and scripts using Python/Perl/Shell to eliminate manual tasks and accelerate issue resolution.
- Establish and enforce SLAs for internal platforms, ensuring issues are resolved within defined timelines.
- Stakeholder Engagement & Continuous Improvement of the data infrastructure platform
- Capture feedback from platform users and convert it into actionable architecture or support initiatives.
- Maintain structured documentation of support activity, performance metrics, and enhancement logs.
Core Skills
- Strong expertise in data architecture, distributed systems, and real-time data processing
- Hands-on experience with key data ecosystem technologies:
- Deep proficiency in automation and scripting using Python, Shell, or Perl
- Good to have any one of the following skills Kafka, Storm, Zookeeper, ElasticSearch, Aerospike, Redis, HBase, Hive, MySQL
- Familiarity with cloud-based data platforms (AWS/GCP/Azure)
- Prior experience in production support, incident management, and anomaly detection
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