Data Engineer

3 weeks ago


Delhi, India Triumph Ladders Pvt. Ltd. Full time

Title - Data Engineer

Exp - 5-12 yrs

Location - Delhi

Notice period - 0-30 days

Responsibilities :

- Collaborate with Data Scientists to test and scale new algorithms through pilots and later industrialize
the solutions at scale to the comprehensive fashion network of the Group

- Influence, build and maintain the large-scale data infrastructure required for the AI projects, and
integrate with external IT infrastructure/service to provide an e2e solution

- Leverage an understanding of software architecture and software design patterns to write scalable,
maintainable, well-designed and future-proof code

- Maintain a catalog of all data assets (what data is available where). Be a single point source for all data related queries

- Building and maintaining data-lake for consumption by AA models and visualization tools by integrating data from multiple sources

- Provide inputs in deciding data-schemas

- Design, develop and maintain the framework for analytical pipeline

- Develop common components to address pain points in machine learning project, like model lifecycle
management, feature store and data quality evaluation

- Provide input and help implement framework and tools to improve data quality

- Work in cross-functional agile teams of highly skilled software/machine learning engineers, data scientists, designers, product managers and others to build the AI ecosystem within the Group

- Deliver on time, demonstrating strong commitment to deliver on the team mission and agreed backlog

Skills and Abilities :

- Ability to transform proof of concept machine learning models into scalable solutions

- Ability to apply software development best practice into machine learning project, including unit test, DevOps integration, release management, test driven development, etc.

- Experience in any one BI/ETL tool preferred (Informatica//SAP BW/Cognos BI)

- Experience with building complex data lakes and pipelines.

- Experience with Azure Synapse, Azure Data Lake (Azure Data Factory, Azure Data Bricks, Blob Storage, etc.) and Python required.

- Experience with at least one data visualization tools (e.g. Tableau/PowerBi/open source analytics) preferred

- Ability to automate development process of machine learning project by leverage state of art tools and technology like container, continuous integration and delivery, orchestration tools etc.

- Good understanding and experience with software design principle and design pattern

- Good understanding of Agile and scrum methodology, keep team focus on deliver business value

Education :


- Bachelors or masters in Computer Science or Engineering

- Work Experience - Proven working experience as a Data Engineer with 3-5 years of relevant experience.

- Experience in Pharma will be a plus.

- Functional Knowledge

- Machine Learning

- DevOps and continuous integration

- Agile wow and test-driven development

- Distributed computing

- Linux, Spark and Hadoop eco system

- Azure Analytics - Azure Data Factory, Azure Data

- Bricks, Block Blob Storage, Azure DevOps, Azure Synapse

- Software development best practices

- Python/Scala/Java

- Docker, Kubernetes

- .Net 5.0

- Data structure and algorithm

- RDBMS and NoSQL databases, good skill with SQL

- React native

- Tableau/ Open source analytics

(ref:hirist.tech)
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