Lantern
SeniorDataEngineer,AWS
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Data Engineer, AWS at Lantern. Skills: Data Engineering, AWS, Redshift, Athena, Python. Design data pipelines on AWS. Build data pipelines on AWS”
What You'll Achieve.
Deliver tangible business value; Positively influence clients
Industry & Context.
Solve complex problems
Relocation support available
What They're Looking For.
Must Have
Bachelor's degree or equivalent experience, 5+ years data engineering experience, Production Python experience, In-depth Redshift experience, In-depth Athena experience, Multi-terabyte dataset optimization, Docker/containers experience, Data modeling, Warehouse/lakehouse design, Partitioning, Data quality, Excellent communication skills, Excellent collaboration skills
Nice to Have
AWS CDK experience, IAM least-privilege design, ECS experience, AWS Step Functions experience, AWS Lambda experience, AI-assisted development familiarity, AWS Certified Data Engineer, AWS Certified Solutions Architect
What You'll Do.
Design data pipelines on AWS
Build data pipelines on AWS
Maintain data pipelines on AWS
Optimize query performance
Optimize warehouse performance
Develop production-grade ETL
Develop production-grade ELT
Package data workloads
Deploy data workloads
Apply data engineering fundamentals
Deliver trustworthy data
Collaborate with stakeholders
Set engineering standards
Bring forward improvements
How You'll Work.
Team & Collaboration
Collaborate with stakeholders; Mentor team members
Communication Scope
Explain technical trade-offs
Full Job Description
At Lantern, our company culture stands as the bedrock of our success and a source of pride for our teams. We firmly believe that a culture founded on trust forms the basis for enduring relationships with clients, colleagues, and partners. Within this culture, we nurture an environment of respect, inclusion, and belonging, fostering collaboration among inspired teams. We prioritize the well-being of our colleagues, the success of our clients, and our positive impact on society. Embracing a growth mindset where curiosity thrives, we celebrate excellence and value individuals who inspire and mentor others, elevating the collective. Our driving force lies in personal and business growth. We go above and beyond to surprise and delight our clients, delivering tangible business value. In facing challenges, we make tough choices and solve complex problems to positively influence our clients, their customers, and the world at large. As a Microsoft services partner, we hold ourselves to the highest standards of technical excellence. This commitment to quality is evident not only in our work but also in how we support and empower our employees. At Lantern, our culture mirrors our core values and unwavering dedication to realizing our purpose and vision, making it a dynamic and fulfilling workplace. Together, we transcend the ordinary and achieve extraordinary results. Position Summary We are seeking a Senior or Principal Data Engineer to design, build, and optimize data platforms on Amazon Web Services. This is a hands-on, AWS-native engineering role for someone who lives in the details of large-scale analytical data: tuning Redshift and Athena, writing production Python, and squeezing performance out of queries that run against multi-terabyte datasets. You'll own the architecture and reliability of data pipelines end to end, set the standard for engineering quality, and mentor others on what great looks like in a modern AWS data environment. This role is based on-site in Edmo
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