Job Location: Kolkata, Mumbai, Hyderabad, Pune, Chennai, Ahmedabad, Bengaluru, Delhi
The Ideal Candidate:
The ideal candidate for this position has experience in Azure, data pipelines, data architecture and warehousing, and has dabbled in machine learning. They are a Data Engineer with a passion for data, and for making people’s lives easier. They enjoy both philosophical discussions and physical deployments and are comfortable working with multiple teams.
Principal Duties :
– Develops and maintains scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity.
– Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization.
– Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
– Performs data analysis required to troubleshoot data-related issues and assist in the resolution of data issues.
– Works closely with a team of engineers, product managers, and analysts.
– Defines company data assets (data models), jobs to populate data models.
– Designs data integrations and data quality framework.
– Designs and evaluates open source and vendor tools for data lineage.
– Works closely with all business units and engineering teams to develop strategy for long-term data platform architecture.
– Other duties as assigned.
Requirements :
– Degree – Candidate must possess a bachelor’s degree from an accredited college in Computer Science, Information Technology, Business, or equivalent experience.
– Functional Experience – Candidates must have 3+ years of experience with large sets of regulated data.
– Interpersonal Relationships – Candidates must demonstrate the ability to work well with others of all personality types while demonstrating problem-solving and the ability to prioritize tasks.
– Communication – Candidates must demonstrate the ability to communicate in verbal and written form with both technical and non-technical personnel.
– Initiative – Candidates must demonstrate success as a self-starting, hardworking and inquisitive worker.
– Teamwork – Candidates must demonstrate the ability to work with cross-functional- teams to deliver on a common goal.
– Agile/Scrum – Candidates must demonstrate experience in an agile product environment to include deep understanding and experience with agile methodologies.
– Data Lake and/or Date Warehousing – Experience with planning and implementing a data warehouse, data lake, or other data repositories is required.
Bonus skills :
– Certifications: Azure Data Engineering, Azure DBA, Azure Developer or others related to the position
– Domain Driven Design – Understanding and experience with Domain Driven Design
– Financial or Education Domains – Ed-Fi, CEDS, SIF, GAAP, etc.
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