Analyst - Learning
Posted May 8, 2026
Key Responsibilities:
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Design, develop, and maintain robust data pipelines and ETL processes. - Work with structured and unstructured data to support analytics and reporting needs. - Collaborate with cross-functional teams to understand data requirements and deliver solutions. - Implement and optimize queries using SQL for data extraction and transformation. - Develop backend services and APIs using Node.js and Python. - Integrate and manage Elasticsearch for search and analytics use cases. - Support basic DevOps tasks including CI/CD pipeline setup and monitoring. - Deploy and manage data solutions on cloud platforms (AWS, Azure, or GCP). - Ensure data quality, integrity, and security across systems. Required Skills:
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Programming Languages: Node.js, Python
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Database & Querying: SQL (PostgreSQL, MySQL, etc.)
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Search Engine: Basic experience with Elasticsearch
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DevOps: Basic understanding of CI/CD, Docker, Git
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Cloud: Basic knowledge of cloud services (AWS, Azure, or GCP)
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Strong problem-solving and analytical skills
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Good communication and collaboration abilities Job Description: As a skilled and motivated Data Engineer, you will be responsible for building and maintaining scalable data pipelines. Your strong programming skills in Node.js and Python will be essential for this role. Familiarity with SQL and DevOps practices will also be beneficial. Experience with Elasticsearch and Cloud platforms is a must-have. Key Responsibilities: