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10/10 Navraj Arora
Recruiter at Landmark Online

Views:18933 Applications:1116 Rec. Actions:Recruiter Actions:424

Lifestyle International - Data Engineer - Analytics (2-7 yrs)

Bangalore Job Code: 752244

Position Objective:

- To embed analytical algorithms in operational systems and create decision support systems for major retail functions like Loyalty Management, Supply Chain management, Markdown management, Store operations, etc.

- Position to work in Analytics Centre of Excellence team of one of the largest retail conglomerates in the Middle East, Africa and the Indian Subcontinent with a diverse portfolio of retail and hospitality brands

Responsibilities:

- Define overall Decision support systems strategy by keeping in mind current and future requirements

- Develop automated and self-serve decision support systems for business users in key retail functions

- Design and develop intuitive user interface & data visualizations in line with business requirements

- Develop scalable analytical procedures in analytical programming languages (SAS, R, Python, etc) and integrate with data warehouses and retail operational systems

- Develop alerting, self-healing, data-quality features to monitor and maintain existing decision support systems

- Design data architectures for warehouse and reporting marts to support decision support systems

- Build and integrate robust data processing pipelines for enterprise-level business analytics

- Lead cross-functional projects to improve data management practices

- Represent Analytics CoE in IT architecture committee and align Decision support systems roadmap with Enterprise architecture roadmap

Qualification & Skills:

- Must have 2-7 years of overall experience

- 2+ years of data engineering experience including user interface development and data management exposure

- Strong hands-on experience in programming languages (SAS, R, Python, SQL, etc) used in analytics

- Expert knowledge of SAS products/architecture

- Proficient in implementing Analytic approaches and Statistical algorithms on large size data

- Proficient in Data management concepts, Data analysis & Data mining techniques

- Experience working with datasets of different sizes and shapes, including experience to explore, query, process, summarize large size data

- Experience with Visualization tools (ex. Qlik, Tableau, PowerBI)

- Experience working with Unix operating systems

- Strong problem solving, design and architecture skills

- Exposure to Hadoop technologies like HDFS, Map-Reduce, Hive, Sqoop, Oozie will be preferred

- Ability to predict future enhancements necessary based on the usage pattern

- Ability to work in a fast-paced and dynamic work environment

- Passion for technology and willingness to learn new programming languages, technologies

- Ability to effectively organize & execute a demanding workload

- Knowledge of retail industry and its BI and analytics needs

This job opening was posted long time back. It may not be active. Nor was it removed by the recruiter. Please use your discretion.

Women-friendly workplace:

Maternity and Paternity Benefits

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