Data Engineer/Analyst – Python, Spark, SQL, Cloud & Data Architecture
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Job Description
Structured overview of role & requirementsAbout This Role
Lead and manage end-to-end data and analytics projects, including requirements gathering, solution design, delivery, and transition.
Design, implement, and oversee data architectures, models, integration solutions, and governance to deliver scalable, high-quality data-driven insights and applications.
Manage project delivery aspects such as planning, schedules, risks, budgets, and stakeholder coordination while mentoring junior team members and leading technical discussions.
Minimum Requirements
Minimum 7 years of experience in Data and Analytics projects including project leadership and delivery management.
Strong expertise in Python, Apache Spark, SQL, data warehousing, data lakes, big data platforms, data modeling, and data integration.
Experience with Oracle, MySQL, SQL Server, Tableau, Power BI, AWS, and Azure according to project needs.
Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or related field (or equivalent experience).
Ideal Candidate Profile
Experienced in leading complex enterprise data solutions and client-facing project delivery.
Capable of managing multiple priorities and teams with strong technical decision-making and mentoring skills.
Familiar with cloud-native data architectures, data governance, project delivery methodologies, and sustainable data-processing practices.