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The Data Engineer designs and maintains data systems, develops data products, manages data pipelines, and collaborates with stakeholders for efficient data analysis and reporting.
Job Purpose and Impact
Key Accountabilities
Qualifications
- The Professional, Data Engineering job designs, builds and maintains moderately complex data systems that enable data analysis and reporting. With limited supervision, this job collaborates to ensure that large sets of data are efficiently processed and made accessible for decision making.
Key Accountabilities
- DATA & ANALYTICAL SOLUTIONS: Develops moderately complex data products and solutions using advanced data engineering and cloud based technologies, ensuring they are designed and built to be scalable, sustainable and robust.
- DATA PIPELINES: Maintains and supports the development of streaming and batch data pipelines that facilitate the seamless ingestion of data from various data sources, transform the data into information and move to data stores like data lake, data warehouse and others.
- DATA SYSTEMS: Reviews existing data systems and architectures to implement the identified areas for improvement and optimization.
- DATA INFRASTRUCTURE: Helps prepare data infrastructure to support the efficient storage and retrieval of data.
- DATA FORMATS: Implements appropriate data formats to improve data usability and accessibility across the organization.
- STAKEHOLDER MANAGEMENT: Partners with multi-functional data and advanced analytic teams to collect requirements and ensure that data solutions meet the functional and non-functional needs of various partners.
- DATA FRAMEWORKS: Builds moderately complex prototypes to test new concepts and implements data engineering frameworks and architectures to support the improvement of data processing capabilities and advanced analytics initiatives.
- AUTOMATED DEPLOYMENT PIPELINES: Implements automated deployment pipelines to support improving efficiency of code deployments with fit for purpose governance.
- DATA MODELING: Performs moderately complex data modeling aligned with the datastore technology to ensure sustainable performance and accessibility.
Qualifications
- Minimum requirement of 3 years of relevant work experience with a Bachelor's degree.
- 4+ years experience with Python, sql,impala,scala,spark,pyspark
Top Skills
Impala
Pyspark
Python
Scala
Spark
SQL
Cargill Bengaluru, Karnataka, IND Office
Cargill’s office is part of a major IT hub in Bengaluru, offering top-tier amenities, including a vibrant cafeteria, sports facilities, and digitalized services. Convenient housing and dining options, and robust transportation make the location a convenient place to live and work.
Bengaluru Office
Cargill’s Bengaluru India Capability Center (ICC) plays a vital role in advancing the company’s global strategy. As a hub for digital and data innovation, the ICC is a strategic engine powering growth with customers, strengthening core operations, and exploring new and emerging markets. The Bengaluru team exemplifies Cargill’s commitment to people, purpose, and collaboration. The team’s work is central to bringing Cargill’s digital strategy to life and shaping the future of food and agriculture.
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What you need to know about the Bengaluru Tech Scene
Dubbed the "Silicon Valley of India," Bengaluru has emerged as the nation's leading hub for information technology and a go-to destination for startups. Home to tech giants like ISRO, Infosys, Wipro and HAL, the city attracts and cultivates a rich pool of tech talent, supported by numerous educational and research institutions including the Indian Institute of Science, Bangalore Institute of Technology, and the International Institute of Information Technology.
