Required Relevant Experience: 7+ years Job Location: Bangalore About the Role We are looking for a highly experienced and passionate Senior Backend Developer with strong expertise in Python, specifically with Django or Flask frameworks. The ideal candidate should have a proven track record of designing, building, and scaling backend systems and APIs, with deep understanding of system architecture and performance optimization. The candidate will be working closely with our product managers, frontend developers, and DevOps team to deliver reliable, secure, and scalable backend solutions that power mission-critical applications. Required Skills & Qualifications Bachelor s/Master s degree in Computer Science, Engineering, or a related field. 7+ years of hands-on experience in backend development using Python. Strong command over Django and/or Flask frameworks. Strong problem-solving, debugging, and analytical skills. Experience designing scalable architecture and building production-grade APIs. Good understanding of databases (PostgreSQL, MySQL) and ORMs. Knowledge of caching mechanisms (Redis, Memcached), message brokers (RabbitMQ, Kafka), and containerization (Docker). Familiarity with cloud platforms (AWS, Azure, GCP) is a plus. Experience with Git, Agile/Scrum methodologies, and project tracking tools like Jira. Key Responsibilities Design, develop, and maintain robust and scalable backend systems using Python (Django/Flask). Build and maintain RESTful APIs and integrate third-party services and APIs. Work on database modeling, performance tuning, and writing optimized queries (PostgreSQL, MySQL, etc.). Ensure security best practices in handling data, authentication, and session management. Lead code reviews, enforce coding standards, and mentor junior developers. Collaborate cross-functionally with other engineering teams, product managers, and stakeholders to define and deliver impactful solutions. Write unit and integration tests and participate in CI/CD pipeline processes. Monitor application performance and debug production issues. Preferred Qualifications Exposure to microservices architecture. Experience working with GraphQL (optional). Prior contributions to open-source projects or personal projects hosted on GitHub. Ability to manage a small team or lead a project independently.
Required Relevant Experience 4+ years Job Location Bengaluru or Goa or Gandhinagar Guj We are seeking a skilled and motivated Data Engineer with 4+ years of hands-on experience in building and managing scalable data solutions. The ideal candidate should have strong expertise in Azure services, Azure Data Factory, ETL/ELT processes, data warehousing, and RBAC (Role-Based Access Control). You will be responsible for designing, implementing, and optimizing data pipelines and ensuring secure access to data platforms. Key Responsibilities: Design, develop, and maintain data pipelines using Azure Data Factory. Implement ETL/ELT processes for structured and unstructured data. Build and optimize data warehouses for analytics and reporting needs. Integrate and manage data from multiple sources to ensure data quality, consistency, and reliability. Work with Azure services (Data Lake, Synapse, Databricks, etc.) to deliver end-to-end data solutions. Implement and maintain RBAC policies to ensure secure and compliant data access. Collaborate with data analysts, data scientists, and business stakeholders to provide reliable datasets. Monitor and troubleshoot pipelines, ensuring performance, scalability, and cost optimization. Required Skills & Qualifications 4+ years of experience in Data Engineering, with at least 2 end-to-end data warehouse or data lake projects. Strong SQL expertise (complex queries, window functions, performance tuning). Hands-on experience with Azure Data Services: Azure Data Factory (ADF) Azure Databricks (PySpark/Scala) Azure Data Lake (Gen1/Gen2) Delta Lake / Delta Tables Synapse Analytics Azure Key Vault, RBAC & security features Good understanding of ETL/ELT tools such as Pentaho, dbt, or equivalent. Knowledge of Big Data & distributed processing frameworks (Spark, optimization techniques). Familiarity with version control & CI/CD for data pipelines (GitHub/Azure DevOps). 1 2 years of Power BI hands-on experience. Excellent communication, problem-solving, and leadership abilities
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