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17 Data Art Solutions Jobs

Data Engineer

1-3 years

Kolkata, Mumbai, New Delhi + 4 more

1 vacancy

Data Engineer

Data Art Solutions

posted 13d ago

Job Description

Design and implement robust ETL/ELT pipelines to ingest API metadata from diverse sources (e.g., Gateways, Workflow platform such as ServiceNow, Development platforms such as Gitlab and Network platforms such as Kafka and F5)

Build scalable and reusable data engineering frameworks to streamline data processing

Ensure data pipelines handle large volumes of structured and semi-structured data efficientlyIntegrate data from APIs, databases, and other platforms into MongoDB or ElasticsearchTransform raw data into clean, enriched, and usable formats for API catalogue ingestion

Maintain and manage unified metadata models for versioning, standards adherence, and API quality metrics

Optimize data pipelines for performance, scalability, and reliabilityImplement monitoring, logging, and alerting for pipeline health and data quality

Collaborate with DevOps teams to implement CI/CD workflows for data engineering tasksWork closely with product teams, business analysts, and solution architects to understand data requirements

Provide technical expertise for data-related decisions and troubleshooting

Collaborate with enterprise architects to align pipelines with organizational standardsEnsure compliance with data security and privacy policies, including role-based access control (RBAC)Implement data validation and quality checks within pipelinesContribute to the development of data governance frameworks for catalogue metadata

Proficiency in data engineering tools and technologies (e.g., Apache Spark, Kafka, Airflow)

Expertise in building and managing data pipelines using mainly Java, or PythonStrong experience with database technologies like MongoDB, Elasticsearch, and SQL/NoSQL databases

Familiarity with API integration, RESTful services, and JSON/XML data formats

Knowledge of cloud platforms (AWS preferred) and their data services (e.g., S3, Lambda)

Experience with containerization and orchestration tools (Docker, Kubernetes)

Understanding of CI/CD practices and tools (e.g., GitLab)Excellent problem-solving and analytical skills

Strong communication skills for technical and non-technical stakeholders

Ability to work in an agile and collaborative environment

Detail-oriented with a focus on delivering high-quality outputs5+ years of experience in data engineering or related roles


Employment Type: Full Time, Permanent

Read full job description

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