Sr. Data Engineers

Group Company: Bajaj Finserv Direct Ltd

We are looking for immediate joiner for below position 

Sr. Data Engineers

Experience: 4 to 8 Years

"Must-Have - 

 - Python

 -  SQL

 -  Complex Production Issues Resolution

Good to Have -

 - Tableau or Power BI

 -  Business User Interaction"

Key Responsibilities:
Implement and maintain data ingestion pipelines from source applications (which are based on Microservices architecture) into our enterprise Data Lake and Data Warehouse platforms.
Develop and support ETL/ELT processes to transform and load high-quality data into structured models for reporting and financial reconciliation.
Monitor and maintain production data workflows, proactively identifying anomalies, resolving data quality issues, and performing root cause analysis (RCA).
Collaborate with the  Data Architects/SMEs to support the evolution of the data ingestion and processing architecture, including enhancements and automation opportunities.
Develop automation scripts and tools (using Python, Shell, or Perl) to eliminate manual processes and improve operational efficiency.
Participate in designing robust and scalable data flows between transactional systems and distributed platforms (e.g., Kafka, Redis, HBase, ElasticSearch).
Assist in performance tuning of SQL queries and data pipelines across large datasets.
Document incident handling, change logs, and metrics as part of operational excellence.
High Quality Data Feed generations which will be used for MIS reports and Financial Data Reconciliation

Core Skills
Solid programming/scripting experience in Python and Hive (preferred), Shell, or Perl.
Proficiency in SQL and database performance optimization (MySQL or similar).
Experience with distributed data platforms and tools: Kafka, Redis, ElasticSearch, HBase, etc.
Familiarity with data architecture and real-time data streaming.
Exposure to ETL tools and practices for large-scale data transformation.
Experience with incident management and data quality monitoring in a production environment.
Experience on AWS, Azure, or GCP cloud data platforms is a plus.
Strong documentation habits and communication skills to work in a team-oriented environment.
Willingness to work in a high-ownership, fast-paced environment to learn functional processes, financial reconciliation and a continuous improvement mindset.