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Mid-level role, metro Bangalore location, and generalist Databricks/AWS skills increase applicant competition.
Databricks and data engineering are transferable, but Amazon Connect decisioning makes fit moderately industry-specific.
Mandatory 3+ years plus specific Databricks, Amazon Connect, and AWS skills make filtering stringent.
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Integrate multiple enterprise data sources into Amazon Connect decisioning workflows to enhance customer interactions and business outcomes.
Design and implement scalable Databricks-based ETL/ELT pipelines for batch and near real-time analytics use cases.
Develop AI/ML-driven predictive analytics and actionable insights to improve customer experience, operations, and strategic decision-making.
Minimum 3+ years of professional experience in data engineering, analytics, AI/ML, or cloud data platform engineering.
Hands-on expertise with Amazon Connect implementation, integrations, and customer interaction analytics.
Proficient in Databricks, PySpark, Spark SQL, Delta Lake, and lakehouse data architecture.
Bachelor's degree in Computer Science, Engineering, Data Science, Information Technology, or related field.
Experienced in integrating diverse enterprise data sources like SAP, CRM, ERP into customer engagement platforms.
Skilled in building AI/ML or advanced analytics solutions that deliver business recommendations and actionable insights.
Comfortable working with AWS cloud services (Lambda, S3, Glue, etc.) and data visualization tools like Power BI or Amazon QuickSight for reporting.