Posted:7 hours ago|
Platform:
On-site
Full Time
Job Responsibilities: Analyze approved requirements from stakeholders across IT and business functions. Collaborate with domain experts and data/application owners to transform data for business use. Design, develop, and maintain scalable data pipelines and extraction scripts. Write scripts for data extraction using Python or PowerShell. Manage CI/CD tools (e.g., Jenkins) for deploying pipeline code. Assess and ensure data quality across all data sources and processes. Monitor and troubleshoot CI/CD jobs and pipeline failures. Maintain proper documentation of data dictionaries, pipelines, and business rules. Coordinate with data engineers to deploy new data sources effectively. Must-Have Skills & Experience: Strong understanding of database design and operations (especially MS SQL). Programming expertise (preferably Python ; other languages considered with strong experience). Experience in managing and deploying production code. Familiarity with CI/CD practices and tools. Experience integrating with APIs for data sourcing. Understanding of cloud services (especially Microsoft Azure). Knowledge of software engineering best practices, DevOps, and Git. Strong communication and stakeholder collaboration skills. Nice-to-Have Skills: Knowledge of Cybersecurity concepts and related tools. Experience with IT infrastructure operations . Understanding of Data Warehouse/Data Lake architectures . Familiarity with API security concepts . Hands-on experience with CI/CD solution deployment . Exposure to Agile or ITIL frameworks. Ability to analyze large datasets and deliver data insights. Qualifications: Bachelor's or Master's degree in a STEM field. 5+ years of proven experience in the data engineering domain. Solid understanding of ETL/ELT processes , data migration , and data modeling . Proficient in English communication (written and spoken).
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