Location
Bangalore | India
Job description
About Alshaya:
Alshaya Group is a dynamic family-owned enterprise, first established in Kuwait in 1890. With a consistent record of growth and innovation, Alshaya Group is one of the world's leading brand franchise operators, offering an unparalleled choice of well-loved international brands to customers.
Alshaya Group's portfolio extends across MENA, Turkey and Europe, with thousands of stores, cafes, restaurants and leisure destinations, as well as a growing online and digital business.
Operating in multiple sectors including Fashion, Food, Health & Beauty, Pharmacy, Home Furnishings and Leisure & Entertainment, Alshaya Group colleagues are united by a commitment to authentically deliver great customer service and brand experiences.
Fresh, modern and relevant, Alshaya's constantly evolving portfolio reflects the choices and lifestyle of its customers. From flagship stores and restaurants in prestige malls, through to local coffee shops, drive-thrus and online, Alshaya Group brings customers the brands they love in the places they want to be. Brands such as Starbucks, H&M, Mothercare, Debenhams, American Eagle Outfitters, P.F. Chang's, The Cheesecake Factory, The Body Shop, M.A.C, Victoria's Secret, Boots, Pottery Barn and KidZania.
Responsibilities:
- Working with data software engineers, product managers, Data Ops and data scientists to build data architecture that drives insights
- Drive data cost efficiency with good data model design, minimized data replication, and cost-effective storage and usage
- Lead the data engineering best practice inputs to data architecture (principles and adoption of MACH approaches), data security, data automation Ensure data security protocols are aligned to policy and operational
- Ensure data architecture requirements are implemented, documented and operational
- Designing and building reusable components, frameworks, and libraries at scale to support analytics data products
- Improving processes regarding data flow and quality to improve data accuracy, viability, and value
- Identifying, designing, and implementing process improvements that include building/re-engineering data models, data architectures, pipelines, and data applications
- Continuously look for data optimization processes and oversee data management, governance, security, and analysis
- Increase automation and build analytic solutions at scale to serve the business requirements
Key Skills and Experience:
- Data engineering : ETL/ELT design and build for data batching and streaming; data standardisation and reference data management; able to leverage data automation methods to provide data-as-a-service; deliver data lineage operation and optimization
- Hands-on experience analyzing, architecting/re-architecting data and analytics platforms on AWS/GCP or similar platform
- Test-driven development: able to build pipelines, data transformations and business rules for data management using Python and/or Spark. Able to identify, recruit, train and retain the necessary team to manage data engineering work at Alshaya
- Experience in designing and implementing data ingestion solutions on AWS or GCP using different approaches
- Must have experience designing and architecting data lakes on cloud platforms and BI application integrations.
- Knowledge of data security best practices and experience building secure data solutions
- Experience designing and setting up a lakehouse architecture using Databricks or any similar technologies
- Knowledge of data visualizations and self-service data preparation tools to maintain the flow of data for the analytics and visualization teams
- Collab/management : Lead a team of Data Engineers, Devops, Business Analysts
- Experience managing engineers and guiding them through project planning, design, development, quality control, and deployment
- Mentorship and career growth where you will be responsible for 121's, Goal setting, career development, code reviews
- Experience Lead a team of data engineers and guide them with the best data strategies in line with data needs
- Identifying, designing, and implementing process improvements that include building/re-engineering data models, data architectures, pipelines, and data applications
- Continuously look for data optimization processes and oversee data management, governance, security, and analysis
- Hire the best talents, identify the potential of each team member and offer technical guidance, leadership, and advice on planning, designing, and implementing data solutions
- Ensure data quality and security across every product vertical and related areas
- Design, create and launch new data models and pipelines as per needs
- Work towards achieving high performance, operational excellence, accuracy, and reliability of the overall system
- Utilize tools and technologies to create data architecture that supports new data initiatives and is useful in next-gen products
- Ensure test-driven products/pipelines that are easily maintainable and reusable
- Design and build an infrastructure for extraction, transformation, and loading of data from a wide range of data sources
- Overall build and maintain data foundations that include tools, infrastructure, and pipelines that help the marketing and sales team
Key Behaviors:
- must show commitment to continuous skills improvement / self-learning
- strong demonstration of timeliness and delivering to commitments
- demonstrated collaborative approach to work
- empathetic to our customers and their needs & wants
- culturally aligned to Alshaya values
- start-up mindset: we are developing a new capability for the enterprise
Skills:
- Hands on experience in writing Python ETL and orchestration of ETL jobs
- proficient in SQL
- Infra as a code using Terraform or similar
- hands on experience in tools liked Cloudwatch/Grafana or similar for Monitoring and Alerting
- Experience working in an AGILE environment
- Experience with CICD pipeline and DataOps methods; managing data model deployments and tuning
- Code repository management, containerisation experience
- Experience with Data Security Frameworks
Job tags
Salary