Senior Data Engineer

Key Responsibilities:
•       Design and maintain cloud-based data warehouse and lake infrastructure using AWS
•       Develop ETL processes for integrating retail datasets into a unified data model
•       Create QuickSight dashboards for retailer insights
•       Enable self-serve analytics and support ad-hoc reporting needs
•       Implement real-time monitoring and alerting based on operational data
•       Manage multiple projects, collaborating across teams to deliver results
•       Mentor junior engineers and contribute to team growth

Key Qualifications:
•       5+ years of data engineering experience
•       Expert-level Python skills
•       Comprehensive expertise in AWS Big Data tools: S3, Redshift, QuickSight, Glue, Lake Formation, EMR/Spark, Kinesis, Firehose, Kafka, Athena, Lambda, Step Functions, IAM roles and permissions. 
•       Proficiency with non-relational databases and data stores
•       Experience with big data file formats: Parquet, Avro, ORC
•       Understanding of distributed systems for data storage and computing
•       Proven ability to extract value from large datasets
•       Experience in technical leadership and mentoring
•       Expertise in data security best practices, including encryption, governance, and API authorization (OWASP Top 10, OAuth 2.0, JWT)
•       Proficiency in comprehensive software testing strategies (unit, integration, end-to-end)