Experience: Optimally between 7 to 10 years of experience as Azure cloud data engineer responsible for building and optimizing data pipelines, designing scalable data architectures, and enabling advanced analytics and machine learning workflows on Azure Cloud Platform.

Educational qualifications expected: Masters or Bachelor's degree in Computer Science, Engineering, or a related field.

Requirements

- Must have knowledge in Azure Datalake, Azure function, Azure Databricks, Azure data factory, ADLS
- Working knowledge in Azure Devops, Git flow would be an added advantage.
- Collaborate with data scientists, analysts, and application developers to deliver high-quality data solutions.
- Ensure data quality, governance, and security across all pipelines and storage layers.
- Write efficient and maintainable code in Python and PySpark.
- Develop and optimize SQL queries for data extraction and transformation.
- Experience with big data tools: Hadoop, Spark, Kafka, etc.
- Experience with relational databases such as Microsoft SQL Server, MySQL, PostGreSQL, Oracle and NoSQL databases such as Hadoop, Cassandra, Mongo dB
- Strong analytic skills related to working with structured, semi structured, unstructured datasets.
- Build processes supporting data transformation, data structures, metadata, dependency and workload management.
- Implement data quality checks and monitoring,



ensuring data accuracy and reliability.
- Working knowledge of message queuing, stream processing, and highly scalable big data data stores.
- Solid problem-solving skills with an emphasis on sustainable and reusable development.
- Experience building and optimizing big data data pipelines, architectures and data sets.
- Hands-on experience with CI/CD tools and DevOps practices.

Experience/Skills:

- Azure Datalake, Azure function, Azure Databricks, Azure data factory, ADLS, Azure Devops
- Proficiency in Python and PySpark.
- Strong SQL skills, including query optimization and performance tuning.
- Familiarity with data warehousing, data lake concepts and ETL processes.
- Experience with big data tools: Hadoop, Spark, Kafka, etc.
- Experience with relational databases such as Microsoft SQL Server, MySQL, PostgreSQL, Oracle, and NoSQL databases such as Hadoop, Cassandra, MongoDB.
- Excellent problem-solving skills with an emphasis on sustainable and reusable development.
- Strong communication and collaboration skills.

Additional Information:

- Reporting to : Director- Intelligent Insights and Data Strategy
- Travel : Must be willing to be deployed at client locations anywhere in the world for long and short term as well as should be flexible to travel on shorter duration within India and abroad

📌 Azure Data Engineer/ Architect (Gurugram)
🏢 Capgemini
📍 Gurugram