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based on 43 Reviews

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AI & Analytics Data Engineer II

AGCO Corporation

based on 43 Reviews

2-6 years

Pune

1 vacancy

AI & Analytics Data Engineer II

AGCO Trading India

posted 5mon ago

Flexible timing

Key skills for the job

+ 2 more

Work closely with Data Scientist and AI Developer teams to understand the business problems, steps to execute and drive implementation for value creation.
Works with business stakeholders to identify relevant data sources for use cases, maps into a data model.
Handles complex issues and problems. Possesses solid working knowledge of subject matter.
Builds systems and infrastructures that collect and process data according to analytics use case needs and goals.
Builds, evolves and scales out infrastructure to ingest, process and extract meaning out data.

Use enterprise scale ETL tools (e.g. SAP, Databricks, Python, Spark) to integrate, transform and load data from source systems to consuming applications and models in order to extract meaning out of the data.
Leverage cloud-based services (e.g. AWS, Azure) for data storage and processing.
Productionalizes data pipelines in the cloud using deployment tools (e.g. Cloud Formation, Docker containers, Git for Version Control) for data and analytics use cases at scale.

Leverages existing data infrastructure to fulfill all data-related requests, perform necessary data housekeeping, data cleansing, normalization, hashing, and implementation of required data model changes.
Analyzes data to spot anomalies, trends and correlate similar data sets.
Troubleshoots problems, identifies possible solutions, and resolves accordingly.
Evangelize good data handling and management practices.
Ensures data integrations adhere to enterprise architecture standards.
Stewards data cleanliness and management where appropriate.

Your Experience and Qualifications

5+ years of relevant experience in a related field with hands-on experience in the development of data pipelines
Technical with big data tools such as Hive, Spark, Hadoop etc.
Experience in data mining and predictive modeling inclusive of linear and non-linear regression, logistic regression, and time series analysis models.
Experience working with large datasets including structured and unstructured data and experience cleaning and manipulating data.
Experience with classical and cloud based ETL tools for batch data transformations
Strong data visualization and communication skills including written, verbal and presentation skills.
Knowledge working with relational databases and large datasets, along with the data governance and quality management processes need to improve quality of the analysis.
Strong academic qualifications, including advanced understanding/coursework in Computer Science, Mathematics, Statistics, Engineering, or related field.

Your Benefits

GLOBAL DIVERSITY - Diversity means many things to us, different brands, cultures, nationalities, genders, generations - even variety in our roles. You make us unique!
ENTERPRISING SPIRIT- Every role adds value. Were committed to helping you develop and grow to realize your potential.
POSITIVE IMPACT - Make it personal and help us feed the world.
INNOVATIVE TECHNOLOGIES - You can combine your love for technology with manufacturing excellence - and work alongside teams of people worldwide who share your enthusiasm.
MAKE THE MOST OF YOU - Benefits include health care and wellness plans and flexible and virtual work option .