Position Details
About this role
Senior Lead Data Engineer leading bank tech data initiatives, building scalable, cloud-based data platforms and real-time data pipelines across multiple locations.
Key Responsibilities
- Collaborate with Agile teams to design, develop, test, and support full-stack data solutions
- Lead a team of developers with experience in ML, distributed microservices, and full stack systems
- Utilize Java, Scala, Python and SQL across data platforms and cloud warehouses
- Leverage Docker/Kubernetes for deployment and orchestration
- Mentor team members and drive best practices across the engineering community
Technical Overview
Stack includes Java/Scala/Python, SQL, Spark; NoSQL databases; data warehousing with Redshift/Snowflake; distributed data tools (Hadoop/Hive/EMR/Kafka); cloud (AWS/Azure/GCP); UNIX/Linux; Agile practices.
Ideal Candidate
The ideal candidate is a senior lead data engineer with 9+ years of application development including Python/SQL/Scala/Java; 4+ years of cloud experience (AWS/Azure/GCP); 4+ years distributed data tooling; strong streaming experience and leadership capabilities.
Must-Have Skills
None listed
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Clearance & Visa
Keywords for Your Resume
Deal Breakers
Bachelor's degree required, 9+ years of application development experience, 4+ years of public cloud experience, 4+ years of distributed data/computing tools experience
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