Data Engineer/Analyst – Python, Spark, SQL, Cloud & Data Architecture
Core
Lead Data and Analytics projects to deliver scalable data architectures, pipelines, and actionable insights for clients.
Role type
Senior Lead Data Engineer/Data Analyst
Builds
Data warehouses, data lakes, integration pipelines, and BI dashboards
Domain
Enterprise data management and cloud analytics
Required skills
Python, SQL, Apache Spark, Data Warehousing, Data Modeling, Data Integration, Data Governance, Cloud Platforms (AWS/Azure), Tableau/Power BI (via careerplan.io/jobs/JR1042376-data-engineeranalyst-python-spark-sql-cloud-data-architecture-at-synechron)
Preferred skills
Cloud-native architecture, Data Quality Automation, Metadata Management, Advanced Analytics, Resource Optimization
Technologies
Apache Spark, AWS, Azure, Oracle, MySQL, SQL Server, Tableau, Power BI
Responsibilities
Lead end-to-end data projects from requirements to delivery; Design and implement scalable data architectures and models; Oversee data collection, cleansing, transformation, and validation; Mentor junior team members and guide technical decisions; Ensure solutions meet quality, security, and performance standards; Manage project plans, budgets, and timelines.
Seniority
Senior, hands-on IC with leadership responsibilities
