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Lead Data Engineer / Solution Architect

Lead Data Engineer / Solution Architect

Talent VelocityPune
12 days ago
Job description

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)

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