Senior Data Engineer

Company Overview

Logile is the leading retail labor planning, workforce management, inventory management and store execution provider deployed in thousands of retail locations across North America, Europe, Australia, and Oceania.

Our proven AI, machine-learning technology and industrial engineering accelerate ROI and enable operational excellence with improved performance and empowered employees. Retailers worldwide rely on Logile solutions to boost profitability and competitive advantage by delivering the best service and products at optimal cost.

From labor standards development and modeling to unified forecasting, storewide scheduling, and time and attendance, to inventory management, task management, food safety, and employee self- service — we transform retail operations with a unified store-level solution. Gain the Advantage with The Logic of Retail. One Platform for store planning, scheduling, and execution.

For more information visit www.logile.com

Data Engineer Role and Responsibilities

Data Engineering is a key component of the products Logile offers to customers. Our application needs to consume data from various customer systems to provide accurate forecasts, demand, reporting, etc. The Data Engineering team plays a vital role in integrating this data into our application and serves as the subject matter experts for that data, providing guidance and troubleshooting support to both our customers and other Logile teams.

Key Responsibilities

As a Data Engineer, you will be responsible for development/ support customer data in the Logile application, including but not limited to:

• Develop and maintain scalable ETL pipelines to support various types of data loads
• Dev/Unit and QA testing of ETL processes to ensure data accuracy and optimized performance
• Perform resolution efforts for any issues related to ETL processing
• Ensuring quality and timely completion of all deliverables.
• Track and provide updates to manager on milestones and activities

Job Location & Schedule:

• This job is an onsite job at Logile Bhubaneswar Office.
• It is expected that the selected candidate will be available to work flexible hours to support US Projects and accounts.

Skills & Experience:

• Bachelor's degree in computer Programming, or commensurate work experience
• 5-10 years of experience as a Data Engineer or similar role.
• Design, develop, and optimize ETL/ELT pipelines to process large volumes of structured and unstructured data.
• Develop data ingestion and transformation workflows using Python, SQL and PL/SQL.
• Nice to have knowledge in Unix and Shell Scripting.
• Should have working experience in any of the ETL tools like Informatica, DataStage, Talend, Pentaho, ADF, Databricks, AWS Glue.
• Implement data quality checks, validation frameworks, and performance tuning for SQL queries.
• Should have working experience on any of the cloud platform like Azure, AWS or GCP.
• Manage and maintain data infrastructure, ensuring scalability, security, and performance.
• Support data integration from multiple sources (databases, APIs, flat files, etc.) into the data lake or warehouse.
• Good to have experience on handling runtime issues.
• Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver reliable datasets.
• Participate in code reviews, documentation, and best practice development for data engineering processes.
• Understanding data cleansing, data verification, and data configuration.
• Preferred familiarity with Jenkins and/or other CI/CD tools experience for monitoring and establishment of data pipelines and task automation.
• Familiarity with a Retail data ecosystem is a plus
• Experienced in Agile development
• Proficiency in English and good verbal and written communication abilities

Compensation and Benefits:

• The compensation and benefits associated for this role is benchmarked against the best in industry and job location
• Standard shift: 1 PM – 10 PM (shift allowance applicable for non-standard shifts and as per role).
• Shifts starting after 4 PM: Eligible for food allowance/subsidized meals and cab drop.
• Shifts starting after 8 PM: Eligible for cab pickup as well.

Please note that we will carefully assess and revert to shortlisted candidates only, i.e., profiles which are a good match with our requirements for this job.