Senior Data Engineer

23 hours ago

gurgaon district, India Obrimo Technologies Full time

We are looking for a dynamic Software Engineer & Data Analyst who bridges the gap between engineering and analytics. The ideal candidate will be skilled in developing scalable applications while also capable of analyzing large datasets , generating insights, and building data pipelines using AWS services . You’ll work with cross-functional teams to design, develop, and deploy cloud-based applications and analytical dashboards that drive strategic business decisions. Key Responsibilities: Software Engineering: Design and develop RESTful APIs and microservices using Node.js / Express.js (or Java / Spring Boot). Build dynamic front-end interfaces using Angular or React with TypeScript and reusable component structures. Deploy and manage applications on AWS (Lambda, EC2, API Gateway, S3, CloudFront) . Implement CI/CD pipelines using Docker, Jenkins, or GitHub Actions for automated deployments. Ensure application scalability, performance optimization, and security through system design best practices. Data Analytics & Insights: Extract, clean, and analyze large datasets using SQL, Python (Pandas, NumPy), and PySpark . Develop ETL pipelines and integrate data from multiple sources into AWS data storage (Redshift, S3, Glue, Databricks) . Create and maintain Power BI or Tableau dashboards to visualize business KPIs and operational performance. Perform statistical analysis, A/B testing, and predictive modeling to drive data-driven decisions. Collaborate with business stakeholders to understand requirements and translate them into technical data solutions . AWS & Cloud Responsibilities: Build and manage data pipelines and backend services using AWS Lambda, S3, EC2, CloudWatch, IAM, RDS, Glue, and Kinesis . Use Terraform or CloudFormation for infrastructure automation. Monitor performance and optimize resources for cost and efficiency . Required Skills & Qualifications: Bachelor’s degree in Computer Science, Engineering, or a related field. 3–7 years of professional experience in software engineering and/or data analytics . Strong programming skills in JavaScript (Node.js, TypeScript) and Python . Solid understanding of databases (MySQL, PostgreSQL, MongoDB). Hands-on experience with AWS cloud ecosystem . Experience with BI tools (Power BI, Tableau) and data manipulation libraries (Pandas, NumPy). Knowledge of ETL processes, data modeling, and API integrations . Familiarity with Agile methodologies , version control (Git), and collaborative environments. Preferred Skills (Good to Have): Experience with machine learning models or data science workflows . Exposure to serverless architecture (AWS Lambda, API Gateway). Familiarity with DevOps practices and containerization (Docker, Kubernetes) . Knowledge of data warehousing (Redshift, BigQuery) or stream processing (Kafka, Kinesis) .

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