Website:
techlumino.com
Job details:
Send out your resumes to heena.lalwani@techlumino.com
Description
We are looking for a Senior Database Systems Engineer / Python Developer on a contractual basis for a particular project. The delivery timelines of the project are fixed. So if you are someone who thrives in a high deliverable environment and are keen on learning new things, feel free to apply for this position.
Job Summary
We are looking for a skilled engineer with strong expertise in enterprise and relational databases, along with hands-on experience in Python, cloud databases, file storage systems, and Kafka. This role requires someone who not only works with databases at the application level, but also understands their internal architecture and working mechanisms. The ideal candidate will contribute to database-intensive applications, real-time and batch data pipelines, automation, and system integrations across legacy enterprise and modern cloud environments.
Key Responsibilities
• Design, develop, and support solutions built on enterprise and relational databases.
• Work with databases such as IBM AS400 / DB2, SAP HANA, Oracle, PostgreSQL, MySQL, and Microsoft SQL Server across development, integration, and production environments.
• Analyze and optimize database behavior by understanding internal processing, storage structures, indexing, transaction handling, query execution, and tuning mechanisms.
• Develop and maintain Python scripts, utilities, and services for automation, backend processing, and system integration.
• Build and support data pipelines across enterprise systems, cloud databases, and distributed platforms.
• Work with cloud databases and modern data platforms for scalable data storage and access.
• Manage and support file storage systems, including shared storage, file-based ingestion, object storage, and file transfer workflows.
• Design, implement, and troubleshoot Kafka-based messaging and streaming pipelines for real-time integration and event-driven processing.
• Write and optimize SQL queries, procedures, and scripts for high-performance and reliable data operations.
• Collaborate with application, infrastructure, and business teams to define technical solutions and integration patterns.
• Monitor and troubleshoot performance bottlenecks across databases, pipelines, storage layers, and messaging systems.
• Maintain technical documentation for database architecture, scripts, workflows, interfaces, and operational procedures.
• Ensure high standards of data integrity, reliability, security, and compliance.
Required Skills
• In-depth technical knowledge of enterprise and relational databases including IBM AS400 / DB2, SAP HANA, Oracle, PostgreSQL, MySQL, and Microsoft SQL Server, with a clear understanding of their internal processing, database structures, transaction handling, and tuning mechanisms.
• Strong knowledge of SQL, relational database concepts, and database design.
• Hands-on experience with Python for scripting, automation, integrations, or backend engineering.
• Experience with cloud databases and distributed data environments.
• Familiarity with file storage systems, shared drives, object storage, SFTP/file transfer workflows, and file-based data exchange.
• Hands-on experience with Kafka or similar event-streaming and messaging platforms.
• Strong understanding of database performance tuning, query optimization, indexing, concurrency, and transactions.
• Experience with ETL, batch processing, real-time data movement, and integration architectures.
• Ability to troubleshoot issues across databases, cloud systems, storage platforms, and data pipelines.
Preferred Skills
• Experience working with legacy enterprise systems and modern cloud-native architectures.
• Familiarity with AWS, Azure, or GCP database and storage services.
• Experience with cloud/object storage technologies such as Amazon S3, Azure Blob Storage, or Google Cloud Storage.
• Strong understanding of Kafka topics, partitions, producers, consumers, offset management, and monitoring.
• Exposure to Linux/Unix, shell scripting, APIs, and microservices-based integration.
• Familiarity with Git and modern development workflows.
• Experience in database migration, modernization, replication, or cross-platform integration.
Qualifications
• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
• 4–8 years of relevant experience in database engineering, backend development, data integration, or platform engineering.
• Experience working in environments that combine legacy enterprise systems, relational databases, and cloud data platforms.
Soft Skills
• Strong analytical and problem-solving capabilities.
• Ability to work independently on complex technical challenges.
• Good communication and cross-functional collaboration skills.
• Strong attention to detail with a focus on performance, reliability, and maintainability.
Click on Apply to know more.