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Data Engineer (PySpark) at gsstech-group | Bengaluru

gsstech-groupBengaluru, Karnataka, India
On-site Full-time

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Experience Level

Experience

Qualifications

Required Skills & QualificationsDemonstrable hands-on experience with PySpark and large-scale data processingProficiency in Informatica BDM DevelopmentStrong grasp of ETL/ELT concepts and data warehousingExperience in data mapping, profiling, and impact analysisProficient in SQL, data modeling, and performance tuningFamiliarity with banking/financial data systems is advantageousExposure to AI-assisted development tools is a plusExcellent problem-solving and analytical capabilitiesPreferred QualificationsBackground in the banking or financial services domainUnderstanding of AECB reporting/data standardsExperience with cloud platforms (AWS/Azure/GCP) is a plus

About the job

Join our innovative team as a Data Engineer within the Data Engineering Chapter, supporting the Group Operations Team. As a vital contributor, you will partner with both business and technical stakeholders to define data needs, execute impact assessments, and create robust, scalable data pipelines utilizing cutting-edge technologies such as PySpark.

Key Responsibilities

  • Engage with the Group Operations Team to capture and evaluate data requirements
  • Conduct impact assessments, technical data mapping, and data profiling
  • Architect and implement data extraction, transformation, and loading (ETL) pipelines
  • Enhance and fine-tune data pipelines using PySpark as part of the bank's modern technological ecosystem
  • Craft data solutions that align with AECB application data models
  • Guarantee data quality, integrity, and consistency across all systems
  • Participate in unit testing, deployment, and production support
  • Utilize advanced AI tools (e.g., Claude) to boost development efficiency and minimize operational errors
  • Collaborate in an agile environment to foster continuous improvement initiatives

About gsstech-group

gsstech-group is committed to leveraging innovative technologies to transform the data landscape. We aim to empower our teams and stakeholders with reliable data solutions that drive decision-making and enhance operational efficiency.

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