Description

You will bridge the gap between data engineering and business requirements within large-scale banking or enterprise environments.

Responsibilities

• Create knowledge management artefacts including process flows, operating guides, and playbooks.
• Manage the data delivery life cycle, covering analysis, profiling, design, and modelling.
• Execute data ingestion, cleansing, extraction, and lineage mapping tasks.
• Implement data definitions, dictionaries, classification, and quality standards.
• Apply industry standards across SDLC, DDLC, Agile, and DevOps frameworks.

Required Skills

• 5+ years of experience in data analyst, BA, or data designer roles.
• Experience working within large banks or major organizations.
• Proficiency with databases, data lake houses, data warehouses, and data platforms.
• Strong understanding of data management and governance processes.
• Hands-on experience with data governance tools such as Alation or Collibra.
• Working knowledge of Python.
• Expertise in data profiling, data design, and data modelling.
• Understanding of data lineage mapping and data classification.
• Degree in any discipline.

Preferred Skills

• Exposure to Big Data solutions using Cloudera Hadoop ecosystems or Teradata platforms.
• Experience with AWS Cloud platforms, Snowflake, and various ETL frameworks.

Key Skills

Education

Any Graduate