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Tier-1 brand plus mid-level generalist data role in metro with common skillset increases competition.
Data engineering skills (ADF, Scala, Python) are broadly transferable across industries, so background fit sensitivity is low.
Explicit 3+ years requirement and mandatory ADF/Scala/Python cloud skills impose high shortlisting strictness.
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Develop and deliver high-quality data analytics engineering solutions using multiple programming languages and modern frameworks, focusing on customer and business outcomes.
Lead technical design, development, testing, integration, and maintenance of software products, ensuring code integrity and alignment with business goals.
Collaborate with cross-functional teams and customers to create lean, scalable, and supportable solutions employing Agile and DevSecOps methodologies with continuous delivery.
Bachelor’s degree in Computer Science, Software Engineering, or related discipline (Advanced degree preferred but not required).
Minimum 3 years of experience with Azure Data Factory (ADF), Azure SQL, Scala, and Python.
Minimum 3 years of experience in cloud-native engineering using SaaS/PaaS on cloud platforms like Azure, AWS, or GCP.
Work Experience Required: Minimum 3 years; strong data engineering foundation with understanding of data structures, algorithms, and code instrumentation.
Experienced engineer comfortable leading end-to-end software product lifecycle in cloud environments with emphasis on automation and continuous delivery.
Technically proficient in multiple languages and frameworks with ability to translate complex business needs into technical solutions.
Demonstrates pragmatic, outcome-focused approach and collaborates effectively across diverse teams to balance feasibility, viability, and customer value.