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Tier-1 brand, metro location, common mid-level data engineer title with broad platform requirements.
Data engineering and cloud platform skills are highly transferable across industries.
Explicit 4+ years and 2+ years leadership requirements raise shortlisting strictness to medium.
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Design and implement end-to-end tailored data solutions including streaming, data lakes, and analytics using evolving technical stacks.
Lead technology selection and provide thought leadership across application to infrastructure layers for data projects.
Develop and deploy data platforms and pipelines using technologies like Python, Java, Scala, Snowflake, Databricks, and AWS while ensuring performance, security, and scalability.
4+ years of experience in Software Engineering, Data Engineering, or Data Analytics projects.
2+ years of experience leading teams on data-related projects delivering end-to-end technical solutions.
Experience with core data platforms such as Snowflake, Databricks, Azure production environments.
Undergraduate or Graduate degree preferred.
Experienced in designing and maintaining ETL/ELT data pipelines and complex data structures like medallion layering.
Able to communicate complex technical topics effectively through presentations and documentation.
Familiar working within Agile frameworks and collaborating across diverse technical stacks and teams.