zorba ai
Website:
zorbaconsulting.in
Job details:
8+ years in Data Projects – Proven track record of delivering end-to-end data engineering solutions including ETL/ELT pipelines, data models, and platform builds at enterprise scale.
- Expert SQL Skills – Advanced proficiency in complex joins, window functions, CTEs, query optimization, and performance tuning across large datasets.
- Strong PySpark & Python – Hands-on experience building distributed data processing pipelines, transformations, and automation scripts using PySpark and Python.
- Databricks Expertise – Working knowledge of Delta Lake, Unity Catalog, Workflows, medallion architecture (bronze-silver-gold), and lakehouse best practices.
- Azure & Cloud Skills – Solid experience with Azure cloud services including ADLS Gen2, Data Factory, Synapse, Key Vault, Azure DevOps, and CI/CD pipelines.
- Problem Solving & Debugging – Strong ability to diagnose and resolve complex data pipeline failures, distributed system issues, and production incidents under pressure.
- Performance Tuning – Demonstrated expertise in optimizing Spark jobs, SQL queries, and cloud storage layers for cost efficiency, throughput, and reliability.
- Adaptability – Comfortable navigating evolving technology stacks, shifting priorities, and cross-functional collaboration in a dynamic, fast-paced Agile environment.
- Team Player – Collaborative engineer who actively contributes to code reviews, architecture discussions, knowledge sharing, and mentoring within a globally distributed team.
- AI Exposure (Nice to Have) – Familiarity with AI/ML concepts such as model training pipelines, feature engineering, RAG architectures, or tools like Azure OpenAI and LangChain.
- GenAI Skills: Strong hands-on experience with Databricks Genie, ChatGPT, Claude, and various Large Language Models (LLMs).
8+ years in Data Projects – Proven track record of delivering end-to-end data engineering solutions including ETL/ELT pipelines, data models, and platform builds at enterprise scale.
- Expert SQL Skills – Advanced proficiency in complex joins, window functions, CTEs, query optimization, and performance tuning across large datasets.
- Strong PySpark & Python – Hands-on experience building distributed data processing pipelines, transformations, and automation scripts using PySpark and Python.
- Databricks Expertise – Working knowledge of Delta Lake, Unity Catalog, Workflows, medallion architecture (bronze-silver-gold), and lakehouse best practices.
- Azure & Cloud Skills – Solid experience with Azure cloud services including ADLS Gen2, Data Factory, Synapse, Key Vault, Azure DevOps, and CI/CD pipelines.
- Problem Solving & Debugging – Strong ability to diagnose and resolve complex data pipeline failures, distributed system issues, and production incidents under pressure.
- Performance Tuning – Demonstrated expertise in optimizing Spark jobs, SQL queries, and cloud storage layers for cost efficiency, throughput, and reliability.
- Adaptability – Comfortable navigating evolving technology stacks, shifting priorities, and cross-functional collaboration in a dynamic, fast-paced Agile environment.
- Team Player – Collaborative engineer who actively contributes to code reviews, architecture discussions, knowledge sharing, and mentoring within a globally distributed team.
- AI Exposure (Nice to Have) – Familiarity with AI/ML concepts such as model training pipelines, feature engineering, RAG architectures, or tools like Azure OpenAI and LangChain.
- GenAI Skills: Strong hands-on experience with Databricks Genie, ChatGPT, Claude, and various Large Language Models (LLMs).
8+ years in Data Projects – Proven track record of delivering end-to-end data engineering solutions including ETL/ELT pipelines, data models, and platform builds at enterprise scale.
- Expert SQL Skills – Advanced proficiency in complex joins, window functions, CTEs, query optimization, and performance tuning across large datasets.
- Strong PySpark & Python – Hands-on experience building distributed data processing pipelines, transformations, and automation scripts using PySpark and Python.
- Databricks Expertise – Working knowledge of Delta Lake, Unity Catalog, Workflows, medallion architecture (bronze-silver-gold), and lakehouse best practices.
- Azure & Cloud Skills – Solid experience with Azure cloud services including ADLS Gen2, Data Factory, Synapse, Key Vault, Azure DevOps, and CI/CD pipelines.
- Problem Solving & Debugging – Strong ability to diagnose and resolve complex data pipeline failures, distributed system issues, and production incidents under pressure.
- Performance Tuning – Demonstrated expertise in optimizing Spark jobs, SQL queries, and cloud storage layers for cost efficiency, throughput, and reliability.
- Adaptability – Comfortable navigating evolving technology stacks, shifting priorities, and cross-functional collaboration in a dynamic, fast-paced Agile environment.
- Team Player – Collaborative engineer who actively contributes to code reviews, architecture discussions, knowledge sharing, and mentoring within a globally distributed
8+ years in Data Projects – Proven track record of delivering end-to-end data engineering solutions including ETL/ELT pipelines, data models, and platform builds at enterprise scale.
- Expert SQL Skills – Advanced proficiency in complex joins, window functions, CTEs, query optimization, and performance tuning across large datasets.
- Strong PySpark & Python – Hands-on experience building distributed data processing pipelines, transformations, and automation scripts using PySpark and Python.
- Databricks Expertise – Working knowledge of Delta Lake, Unity Catalog, Workflows, medallion architecture (bronze-silver-gold), and lakehouse best practices.
- Azure & Cloud Skills – Solid experience with Azure cloud services including ADLS Gen2, Data Factory, Synapse, Key Vault, Azure DevOps, and CI/CD pipelines.
- Problem Solving & Debugging – Strong ability to diagnose and resolve complex data pipeline failures, distributed system issues, and production incidents under pressure.
- Performance Tuning – Demonstrated expertise in optimizing Spark jobs, SQL queries, and cloud storage layers for cost efficiency, throughput, and reliability.
- Adaptability – Comfortable navigating evolving technology stacks, shifting priorities, and cross-functional collaboration in a dynamic, fast-paced Agile environment.
- Team Player – Collaborative engineer who actively contributes to code reviews, architecture discussions, knowledge sharing, and mentoring within a globally distributed team.
- AI Exposure (Nice to Have) – Familiarity with AI/ML concepts such as model training pipelines, feature engineering, RAG architectures, or tools like Azure OpenAI and LangChain.
- GenAI Skills: Strong hands-on experience with Databricks Genie, ChatGPT, Claude, and various Large Language Models (LLMs).
team.
- AI Exposure (Nice to Have) – Familiarity with AI/ML concepts such as model training pipelines, feature engineering, RAG architectures, or tools like Azure OpenAI and LangChain.
- GenAI Skills: Strong hands-on experience with Databricks Genie, ChatGPT, Claude, and various Large Language Models (LLMs).
Skills: sql,data engineering,cloud,big query,python
Click on Apply to know more.