





Mid-level data engineer in metro with common skillset creates moderate competition.
Technical skills transferable but finance preference and Databricks requirement moderately constrain fit.
Explicit 7-10 years requirement and mandatory Databricks certification increase filter strictness.
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Develop and deliver large scale data ingestion and transformation pipelines for multiple clients.
Collaborate with stakeholders to translate business requirements into technical data solutions.
Utilize various ETL/ELT tools and technologies to build and optimize data processing workflows.
7-10 years of experience in building data solutions, preferably with financial services exposure.
Proficiency in SQL including query optimization, window functions, and stored procedures.
Experience with ETL/ELT tools and data processing using Python.
Databricks certification required.
Skilled in implementing metadata-driven data processes and familiar with cloud technologies like Snowflake and Amazon S3.
Able to communicate complex technical concepts clearly to non-technical stakeholders.
Experienced in analyzing business processes and quantitative models to design effective data solutions.