Azure -big Data Architect - Scala/spark/hadoop
5 days ago
We are looking for a Data Architect with good experience in MS Azure and Hadoop.
- 10+ years of technical experience with at-least 2 years on MS Azure and 2 years on Hadoop (CDH/HDP).
- With hands-on experience/exposure to NoSQL Database and Data Modelling
This role involves a combination of hands-on contribution, customer engagement, and technical team management.
**As a Data Architect**, **you will**:
- Design, Architect, Deploy and maintain solutions on MS Azure using different Cloud & Big Data Technologies.
- Manage the full life-cycle of a Data Lake / Modern DWH solution from requirement gathering and analysis to Platform selection, design of the architecture, and deployment be responsible for implementing solutions that can scale on Cloud.
- Explore and learn new technologies for creative business problem-solving and mentor a team of Data Engineers.
**Required Experience, Skills & Competencies**:
- Strong Hands-on experience in implementing Data Lake/DWH with technologies like - Data Factory (ADF), Data Lake Storage (ADLS), Azure Databricks, App Services, Azure Synapse Analytics / SQL DWH, Event Hub, Streaming Analytics, Cosmos DB and Purview
- Experience in using big data technologies like Hadoop, Spark, Kafka, Hive, NoSQL - HBase / MongoDB / Cassandra, Impala, Sqoop, etc.
- Strong programming experience either in Python or Scala / Java
- Experience in supporting BI and Data Science teams in consuming the data in a secure and governed manner.
- Very Good understanding and Experience of using CI/CD with Git, Jenkins / Azure DevOps.
- Experience in setting up cloud-computing infrastructure solutions.
- Excellent communication skills
- Problem-solving aptitude
- Organizational and leadership skills
**Salary**: ₹4,500,000.00 - ₹5,200,000.00 per year
Application Question(s):
- Are you having 10+ years of technical experience with at-least 2 years on MS Azure and 2 years on Hadoop (CDH/HDP) along with hands-on experience with NoSQL Database and Data Modelling ?
- Do you hold experience in using big data technologies like Hadoop, Spark, Kafka, Hive, NoSQL - HBase / MongoDB / Cassandra, Impala, Sqoop, etc.
- Do you have strong programming experience either in Python or Scala / Java ?
- Do you have hands-on experience in implementing Data Lake/DWH with technologies like - Data Factory (ADF), Data Lake Storage (ADLS), Azure Databricks, App Services, Azure Synapse Analytics ?
- Do you have hands-on experience in SQL- DWH, Event Hub, Streaming Analytics, Cosmos DB and Purview ?
- Do you have experience in setting up cloud-computing infrastructure solutions & understanding and experience of using CI/CD with Git, Jenkins / Azure DevOps ?
- Are you having experience in supporting BI and Data Science teams in consuming the data in a secure and governed manner ?
**Experience**:
- Technical: 10 years (required)
**Speak with the employer**
+91 9810299440
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