Data Engineer

Job Description

Were looking for a fast-moving, detail-oriented Data Engineer with deep experience in AWS data services, ETL processes, and reporting tools like QuickSight, Tableau, and Power BI. Youll play a key role in building and maintaining the data infrastructure that powers reporting, analytics, and strategic decision-making across the organization. Key Responsibilities: Design, develop, and maintain scalable ETL pipelines to process and transform data from multiple sources. Build and optimize data models, data lakes, and data warehouses using AWS services such as: AWS Glue, Athena, Redshift, S3, Lambda, and QuickSight. Collaborate with business teams and analysts to deliver self-service reporting and dashboards via QuickSight. Ensure data integrity, security, and performance across all reporting platforms. Support cross-functional teams with ad hoc data analysis and the development of custom reporting solutions. Monitor data pipelines and troubleshooting issues as they arise. Preferred Qualifications: 4+ years of experience as a Data Engineer or in a similar role. Strong hands-on experience with AWS data ecosystem, particularly: AWS Glue (ETL), Redshift, S3, Athena, Lambda, QuickSight. Proficiency in SQL and scripting languages such as Python. Experience working with QuickSight, Tableau and Power BI in a production environment. Strong understanding of data architecture, data warehousing, and dimensional modeling. Familiarity with data governance, quality checks, and best practices for data privacy and compliance. Comfortable working in a fast-paced, agile environment with shifting priorities. Excellent communication and collaboration skills. Nice to Have: Experience with DevOps for data: Terraform, CloudFormation, or CI/CD pipelines for data infrastructure. Background in financial services, SaaS, or a data-heavy industry. Why Join Us? Make a direct impact on high-visibility analytics and reporting projects. Work with modern cloud-native data tools and a collaborative, high-performance team. Flexible work environment with opportunities for growth and leadership. Shift timings - Swing shift 2:30 PM to 11:30 PM, Cab and Food will be provided.