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JOB DETAILS:
* Job Title: Associate III - Azure Data Engineer
* Industry: Global digital transformation solutions provide
* Salary: Best in Industry
* Experience: 4 -6 years
* Location: Trivandrum, Kochi
Job Description: Azure Data Engineer (4–6 Years Experience)
Job Type: Full-time
Locations: Kochi, Trivandrum
Must-Have Skills
Azure & Data Engineering
- Azure Data Factory (ADF)
- Azure Databricks (PySpark)
- Azure Synapse Analytics
- Azure Data Lake Storage Gen2
- Azure SQL Database
Programming & Querying
- Python (PySpark)
- SQL / Spark SQL
Data Modelling
- Star & Snowflake schema
- Dimensional modelling
Source Systems
- SQL Server
- Oracle
- SAP
- REST APIs
- Flat files (CSV, JSON, XML)
CI/CD & Version Control
- Git
- Azure DevOps / GitHub Actions
Monitoring & Scheduling
- ADF triggers
- Databricks jobs
- Log Analytics
Security
- Managed Identity
- Azure Key Vault
- Azure RBAC / Access Control
Soft Skills
- Strong analytical & problem-solving skills
- Good communication and collaboration
- Ability to work in Agile/Scrum environments
- Self-driven and proactive
Good-to-Have Skills
- Power BI basics
- Delta Live Tables
- Synapse Pipelines
- Real-time processing (Event Hub / Stream Analytics)
- Infrastructure as Code (Terraform / ARM templates)
- Data governance tools like Azure Purview
- Azure Data Engineer Associate (DP-203) certification
Educational Qualifications
- Bachelor’s degree in Computer Science, Information Technology, or a related field.
Skills: Azure Data Factory, Azure Databricks, Azure Synapse, Azure Data Lake Storage
Must-Haves
Azure Data Factory (4-6 years), Azure Databricks/PySpark (4-6 years), Azure Synapse Analytics (4-6 years), SQL/Spark SQL (4-6 years), Git/Azure DevOps (4-6 years)
Skills: Azure, Azure data factory, Python, Pyspark, Sql, Rest Api, Azure Devops
Relevant 4 - 6 Years
python is mandatory
******
Notice period - 0 to 15 days only (Feb joiners’ profiles only)
Location: Kochi
F2F Interview 7th Feb
Job Summary:
Seeking an experienced Senior Data Engineer to lead data ingestion, transformation, and optimization initiatives using the modern Apache and Azure data stack. The role involves working on scalable pipelines, large-scale distributed systems, and data lake management.
Core Responsibilities:
· Build and manage high-volume data pipelines using Spark/Databricks.
· Implement ELT frameworks using Azure Data Factory/Synapse Pipelines.
· Optimize large-scale datasets in Delta/Iceberg formats.
· Implement robust data quality, monitoring, and governance layers.
· Collaborate with Data Scientists, Analysts, and Business stakeholders.
Technical Stack:
· Big Data: Apache Spark, Kafka, Hive, Airflow, Hudi/Iceberg
· Cloud: Azure (Synapse, ADF, ADLS Gen2), Databricks, AWS (Glue/S3)
· Languages: Python, Scala, SQL
· Storage Formats: Delta Lake, Iceberg, Parquet, ORC
· CI/CD: Azure DevOps, Terraform (infra as code), Git
Senior Data Engineer (Apache Stack + Databricks/Synapse)
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Thirega@ vysystems dot com - WhatsApp - 91Five0033Five2Three

