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Senior Data Engineer
Onsemibangalore, India1 day ago
Job descriptionExpert-level proficiency in Java for developing high performant applications (required). Experience with Python is a strong plus. Comprehensive hands-on experience with implementing ETL / ELT pipelines and tools, as well as Change Data Capture (CDC) technologies. (required) Demonstrated capability to process large-scale datasets using distributed computing frameworks such as Apache Spark. (required) Proven experience in building event-driven architectures and optimizing data pipelines for throughput, latency, and reliability. (required) Strong working knowledge of real-time streaming systems such as Apache Kafka (strongly preferred). Fluency with structured and semi-structured data formats (., AVRO, JSON) and data modeling tools like Erwin, ED Studio… etc (strongly preferred). Practical experience with NoSQL databases including MongoDB, Couchbase, or Cassandra in high-availability environments (strongly preferred). Experience with containerization using Docker or Kubernetes for scalable deployment (strongly preferred). Familiarity with cloud-native application development practices and CI / CD pipelines using Gitlab (strongly preferred). Proven ability to build and deploy applications in cloud environments such as Azure (strongly preferred). Strong technical experience with the required job skills, and well-rounded across the preferred qualifications. Strong communication skills and the ability to collaborate effectively with cross-functional teams. Proven experience in independently owning and delivering project tasks. Strong problem-solving skills and the ability to think critically about architectural decisions. Experience practicing Agile development methodologies such as Scrum or Kanban. Positive ‘Can-Do’ attitude with strong tenacity to drive through complex challenges and obstacles. Ability to break down high-level designs into actionable tasks and drive execution to deliver high-quality products. Bachelor’s degree in computer science, Engineering, or a related field. 7+ years of experience in software engineering, data engineering, or application development. 3+ years of hands-on experience developing software products using modern data integration technologies.
Senior Data Integration Engineer
Role Overview
The Senior Data Integration Engineer will play a critical role in designing and deploying robust, scalable, and high-performance data pipelines that unify enterprise data sources within a modern cloud ecosystem. This role requires a strong foundation in data engineering, deep technical expertise, and a collaborative mindset to drive innovation and efficiency across the data integration landscape.
Job Responsibilities
- Develop and implement data ingestion and data processing pipelines to integrate disparate sources across the enterprise with data integration platform in Azure cloud environment.
- Program data processing tasks using appropriate technologies and frameworks.
- Implement data modeling solutions using both traditional Relational and NoSQL databases.
- Resolve technical issues independently and collaborate with other teams to address challenges.
- Apply creative problem-solving skills within own code and across teams to achieve project objectives.
- Take ownership of assigned work and demonstrate accountability for outcomes.
- Employ out-of-the-box thinking to propose innovative solutions to complex problems.
Technical Skills :
Ideal Candidate :
The ideal candidate will have :
Job Qualifications
Minimum Qualifications :
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Senior Data Engineer • bangalore, India
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