Development Lead - Advanced RPA

• *Job Summary**
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### **Role Overview**

We are hiring an experienced **Data Engineer** to design, build, and optimize scalable data solutions across **AWS and Microsoft Azure**. The role requires strong hands\-on expertise in **Databricks, data lakes and lakehouse architecture, ETL/ELT pipelines, data warehousing**, and the delivery of business\-ready reporting solutions using **Power BI**.

• *Key Responsibilities**
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### **Responsibilities (Brief)**

• Design, develop, test, and maintain scalable **batch and streaming data pipelines** across AWS and Azure.
• Build and optimize **Databricks lakehouse solutions** using PySpark, Delta Lake, and medallion architecture.
• Integrate structured and unstructured data from multiple sources while ensuring reliability, scalability, and cost efficiency.
• Develop curated data models and semantic layers to support **Power BI dashboards, KPIs, and self\-service reporting**.
• Apply data quality checks, security controls, governance standards, metadata management, and lineage across the data lifecycle.
• Monitor and troubleshoot pipeline failures, improve query and workload performance, and support production data operations.
• Collaborate with architects, analysts, BI developers, and business stakeholders to translate reporting needs into dependable data products.

• *Skill Requirements**
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### **Key Skills Required**

• **Programming \& Querying:** Advanced SQL, Python, and PySpark
• **AWS Data Services:** Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, IAM, and related data integration services
• **Azure Data Services:** Azure Data Lake Storage, Azure Data Factory, Azure Synapse Analytics, and Azure Key Vault
• **Databricks:** Apache Spark, Delta Lake, notebooks, jobs, workflows, performance optimization, and Unity Catalog
• **Data Engineering:** Batch and streaming ingestion, ETL/ELT development, orchestration, monitoring, and reusable data pipelines
• **Data Architecture:** Data lake, lakehouse, cloud data warehouse, and medallion architecture
• **Data Modelling:** Dimensional modelling, star and snowflake schemas, and semantic data models
• **BI \& Reporting:** Power BI, DAX, Power Query, data modelling, dashboard development, and performance tuning
• **Data Governance:** Data quality, security, metadata management, lineage, access control, and cataloguing
• **DevOps:** Git, CI/CD, infrastructure deployment practices, and environment management for data solutions

• *Must Have Skill**
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Advanced RPA \- Agentic AI,Architecture design,Verbal Communication,Written Communication,Interpersonal Effectiveness

• *Good to Have Skill**
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Data Engineering

• *Other Requirements**
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### **Preferred Qualifications**

• 6–10\+ years of data engineering experience, including hands\-on delivery on AWS and Azure.
• Strong experience with Databricks and Power BI in enterprise\-scale analytics environments.
• Exposure to Snowflake, Fivetran, HVR, Tableau, Atlan, or similar data integration and governance tools.
• Understanding of cloud security, cost optimization, deployment automation, and production support practices.
• Strong stakeholder communication, problem\-solving, documentation, and cross\-functional collaboration skills.