Data Engineer / Solution Architect
Location : Pune / Nagpur (WFO)
Experience Required : 8+ Years
Notice Period : Immediate to Max 30 days only
Must have Skills : Big data environments - Hadoop, Spark, Cloudera, Advanced SQL, PySpark and Domain Knowledge - Banking and Finance Domain (MUST HAVE)
Job Summary :
We are seeking a highly experienced Lead Data Engineer / Solution Architect with strong expertise in both technical and functional aspects of Banking and Finance. The ideal candidate will have a balanced background of 50% technical and 50% functional expertise, with proven ability to design and deliver scalable, high-performance data solutions.
Key Responsibilities :
- Design, architect, and implement high-performance data solutions for large-scale banking and finance systems.
- Optimize and maintain big data environments using Hadoop, Spark, Cloudera, Advanced SQL, and PySpark.
- Translate complex business requirements into actionable data strategies and technical solutions.
- Troubleshoot and resolve performance bottlenecks in distributed data processing systems.
- Work closely with stakeholders to align data engineering solutions with business objectives.
- Ensure scalability, performance, and security of enterprise data solutions.
- Mentor and guide junior engineers, fostering best practices in data engineering.
Mandatory Skills & Experience :
10+ years of IT experience with at least 5 years in data engineering / solution architecture.Strong hands-on expertise in Hadoop, Spark, Cloudera, Advanced SQL, and PySpark.Proven experience in database optimization, data modeling, and performance tuning.Solid functional knowledge of the Banking and Finance domain (especially CASA products).Excellent problem-solving, analytical, and communication skills.Ability to bridge the gap between business needs and technical implementation.(ref : hirist.tech)