Data Engineer

Overview

Data Engineer

Experience: 2 to 5 Years

Location: Ahmedabad

Note: Work from office (UK Shift)

Candidates must be willing to work from office and flexible for UK / US shift timings.

Position Summary

The Data Engineer is responsible for developing and maintaining a robust data management

framework supporting the development, implementation, and maintenance of our client facing data products.

Key responsibilities include building and managing database structures, building and supporting API based data integrations,

building and managing data tables and schema for automated pipeline into dashboards, automating refreshes,

creating visualizations, writing match back code to inform ongoing data models.

The ideal candidate will have strong database development and management experience, proficiency in APIs,

data migration and integrations, and a solid understanding and data transformation techniques.

Primary Responsibilities & Essential Functions

Essential Functions:

• An analytical expert that performs sales analysis, develops forecasts, and communicates insights to help optimize sales plans and retail replenishment for new product launches, sales opportunities and supply recommendations across all accounts/products.

• Partners with stakeholders to develop and execute analysis, utilizing retailer-specific software, market share data, and sell-through data.

• Prepares sales analysis for assigned accounts and stays up to date on current industry trends and market activity.

• Proactively surface business opportunities to stakeholders and provide insights and analysis in support of NOA business objectives.

• Collaborates across multiple departments and stakeholders to understand business goals, develop reports and dashboards, and provide valuable insights to decision makers.

• Actively manages sell-thru forecasts and models for use in downstream processes including retail replenishment planning and purchasing decisions.

• Incorporates relevant information to provide the "bottom-up" perspective including insights related to individual retailers and SKUs.

• Forecasts and analyzes promotional lift for individual retail activities and actively collaborates with internal partners.

• Creates sell-thru forecasts for new product launches including analysis of comparable products, customer share trends and presell data.

• Provides supporting data and prepares presentations to communicate insights to an executive audience.

• Initiates continuous improvements of forecasting process including model updates, process change and incorporation of new data elements.

Attributes

• Strong attention to detail to ensure accuracy and reliability of data solutions, data integration processes, and data quality management.

• Effective problem-solving and analytical skills to troubleshoot data issues, optimize data processes, and address challenges during product development and client implementations.

• Ability to collaborate effectively with cross-functional teams, including project managers, engineers, implementation teams, and clients, to achieve successful outcomes.

• Customer-centric mindset with a focus on delivering value to clients through effective data solutions, data integration, and technical support during implementations.

• Commitment to continuous learning and professional development in the field of data engineering, staying updated with industry trends, technologies, and best practices.

Education: BE/BCA/MCA/BTECH/BSC IT

Skills:

• SQL Server, Oracle, My SQL, SSIS, Azure Data Factory, Fabric, Domo, Power BI, Tableau

Job Type: Full-time

Pay: ₹500,000.00 - ₹800,000.00 per year

Schedule:

• Day shift

Education:

• Bachelor's (Preferred)

Experience:

• SQL Server: 2 years (Preferred)
• Oracle: 2 years (Preferred)
• My SQL: 2 years (Preferred)
• SSIS: 2 years (Preferred)
• Azure Data Factory: 2 years (Preferred)
• Fabric: 2 years (Preferred)
• Domo: 2 years (Preferred)
• Power BI: 2 years (Preferred)
• Tableau: 2 years (Preferred)
• robust data management: 2 years (Preferred)
• Implementation: 2 years (Preferred)

Language:

• English (Preferred)

Shift availability:

• Night Shift (Preferred)
• Overnight Shift (Preferred)

Work Location: In person