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Mid-level Data Engineer in Bangalore with broad Azure/Snowflake/BI requirements creates high applicant competition.
Core cloud data engineering skills transfer across industries, though manufacturing domain knowledge moderately increases sensitivity.
Explicit 4-7 years plus mandatory Azure, Snowflake, BI, and Python skills implies high filtering.
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Build and manage end-to-end data engineering solutions on Azure cloud platform, including scalable data pipelines and futuristic data architecture.
Collaborate with business clients to generate decision-making insights via data modeling, KPI development, exploratory analysis, and visualization using tools like Power BI, Tableau, Python, and DAX.
Consult with clients to design controlled data-driven experiments and deliver business intelligence solutions integrating multiple data sources and cloud systems.
4-7 years of experience in consulting or client-facing roles focused on data engineering and analytics.
Bachelor’s or Master’s degree in IT, Computer Science, Mathematics, Physics, or Statistics.
Minimum 2-3 years hands-on experience with Azure Cloud technologies including Databricks, Spark, ADLS, Blob Storage, SQL Data Warehouse, and CI/CD pipelines.
Strong proficiency in SQL, Python programming, data warehousing principles, and advanced BI visualization tools such as Power BI and Tableau.
Experienced in building scalable data architectures and pipelines on Azure with ability to integrate big data technologies like Spark and Hadoop.
Skilled in translating complex business requirements into innovative analytics and BI solutions with focus on actionable insights.
Comfortable working in consulting environments engaging with clients, taking ownership of end-to-end data solutions, and delivering technical presentations and reports.