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Cargill

Senior Data Engineer

Reposted 16 Hours Ago
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In-Office
Bengaluru, Bengaluru Urban, Karnataka
Senior level
In-Office
Bengaluru, Bengaluru Urban, Karnataka
Senior level
The Senior Data Engineer designs and maintains data systems for treasury analytics, builds data pipelines, and collaborates with stakeholders to optimize data solutions.
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Job Purpose and Impact
  • The Senior Professional, Data Engineering designs, builds, and maintains complex data systems that enable data analysis and reporting. This role includes a focus on Treasury-specific data solutions, ensuring high-quality financial data pipelines and models. You will work on scalable architecture to support treasury analytics and decision-making.

Key Accountabilities
  • DATA INFRASTRUCTURE: Prepare and manage data infrastructure for efficient storage and retrieval of data.
  • DATA PIPELINES: Develop and maintain batch and streaming pipelines to ingest and transform financial data into information and move to data stores like data lake, data warehouse and others.
  • DATA MODELING: Performs complex data modeling in accordance to the datastore technology to ensure sustainable performance and accessibility.
  • AUTOMATED DEPLOYMENT PIPELINE: Develops automated deployment pipelines improving efficiency of code deployments with fit for purpose governance.
  • STAKEHOLDER MANAGEMENT: Collaborate with analysts, finance teams, and platform engineers to align solutions with business needs.
  • DATA SYSTEMS: Reviews existing data systems and architectures to identify areas for improvement and optimization.
  • DATA & ANALYTICAL SOLUTIONS: Develops complex data products and solutions using advanced engineering and cloud-based technologies, ensuring they are designed and built to be scalable, sustainable and robust.
  • INNOVATION: Prototype new frameworks and continuously optimize existing architectures to reduce technical debt and improve performance.

Qualifications
  • 10+ years of data engineering experience, with at least 4 years in senior roles.
  • Strong SQL and Python expertise for data manipulation and pipeline development.
  • Exposure to financial or treasury data domain is a huge plus
  • Good to have but not mandatory experience with Snowflake, Airflow, Astronomer, DBT

Top Skills

Airflow
Astronomer
Dbt
Python
Snowflake
SQL

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