Senior Data Engineer

2 months ago

Delhi, India SMC Squared India Full time
ESSENTIAL RESPONSIBILITIES• Implement various data platform functionalities and structures using Microsoft Azure PaaS offerings e.g. Azure Data Factory, Databricks, Logic Apps, Functions, Event Hubs, and various storage offerings.• Lead cross-functional technical discussions that drive decisions and actionable implementation approaches• Design conceptual, logical and physical data architectures with various 3rd party solution delivery partners to meet our clients’ technical, security, and business requirements• Provide technical implementation plans to deploy Azure infrastructure leveraging modern CI/CD best practices• Evangelize and help advancement DevOps across the data platform teams• Play a key role in Client's data transformation strategy and have a voice with Sr. IT leadership as well as Sr. business stakeholders• Work closely with Product Management to plan and deliver road mapped features• Responsible for code reviews and mentor other team members

REQUIRED SKILLS/EXPERIENCE• Bachelor’s degree in Computer Science or related discipline; Masters in Software / Data Engineering preferred• 5+ years experience with SQL and/or NoSQL data technologies• 5+ years experience with cloud data storage technologies specifically Microsoft Azure PaaS offerings• 5+ years experience developing data models• 5+ years experience with ETL/ELT• 3+ years experience working with Microsoft Azure DevOps and CI/CD best practices• 3+ years experience working in an Agile Scrum environment• Experience with various data structure optimization techniques for performant reporting and execution of analytics• Experience with Power BI or other similar data visualization tools• IT healthcare and logistics experience preferred

PREFERRED SKILLS/EXPERIENCE• Software engineering experience with a focus on data management (OLAP and OLTP solutions)• Experience with creating data visualizations with Power BI• Experience with data integration tools and techniques (for sources like SAP, Workday, SugarCRM, etc.…)• Experience with multiple big data storage technologies (e.g., T-SQL, NoSQL, Hadoop, Kafka, etc.)• Experience with statistical programming languages (e.g., R, Python, etc.…)• Experience optimizing and tuning databases and related objects• Familiar with data governance best practices and tools• IoT experience

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