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Mid-level data role, metro location, and broad ETL/Python requirements create moderate competition.
Data engineering skills are transferable across industries but require ETL and DWH domain experience.
Explicit 3–4 years plus mandatory ETL/Python/DWH skills produce moderately strict shortlisting.
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Develop and maintain data crawlers using Aera’s proprietary ETL platform, addressing data loading and processing issues.
Design and implement data warehouse models and data pipelines utilizing Python and SQL.
Collaborate with Solution Architects to translate customer business requirements into technical specifications and own the full development and implementation lifecycle, including UI construction using Aera’s UI builder.
3 to 4 years of development experience.
Hands-on experience with ETL processes and transforming datasets using Python (including libraries like Pandas and Numpy) and SQL.
Basic knowledge of Business Intelligence domain, data warehouse (DWH) concepts, and reporting.
Experience working directly with customers to present ideas.
Experienced in end-to-end data engineering and software development with ownership of implementation workflows.
Operates effectively in customer-facing scenarios requiring clear communication and presentation skills.
Familiar with AI models and capable of integrating them within cognitive application development workflows.