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Senior Data Architect for Large-Scale Banking Solutions

1 week ago

Pune, Maharashtra, India HCLTech Full time

HCLTech is seeking a seasoned Senior Big Data Engineer with 10+ years of experience in HDF5, Hive, Impala, and HBase to lead the design, development, and optimization of large-scale data solutions within the banking domain.

Key Responsibilities:
  • Architect scalable big data solutions using HDFS, Hive, Impala, and HBase
  • Lead data migration projects ensuring high availability, integrity, and minimal downtime
  • Develop and optimize ETL pipelines for efficient data ingestion, transformation, and processing
  • Collaborate with business and technical teams to analyze banking data requirements and provide strategic solutions
  • Ensure data security, governance, and compliance in line with banking industry regulations
  • Perform query optimization, indexing strategies, and performance tuning to enhance system efficiency
  • Mentor junior engineers and drive best practices in big data processing and architecture
  • Work with cloud-based big data platforms (AWS, Azure, or GCP) to modernize and scale data infrastructure
Requirements:
  • 10+ years of experience in big data technologies with deep expertise in HDFS, Hive, Impala, and HBase
  • Strong experience in database management, data migration, and ETL processes
  • Extensive knowledge of the banking domain, including financial data structures, risk, and compliance frameworks
  • Proficiency in SQL, Python, or Scala for data processing and automation
  • Hands-on experience in big data performance tuning, query optimization, and indexing strategies
  • Exposure to cloud-based big data solutions such as AWS, Azure, or GCP
  • Strong understanding of data security, compliance, and governance frameworks
  • Excellent problem-solving, analytical, and leadership skills
  • Ability to work in agile, fast-paced environments and collaborate with cross-functional teams