Azure Data Engineer
6 days ago
About RyzeUp-
We're a ML driven business performance management B2B SaaS platform driving productivity, gamification, and digital transformation for frontline sales teams and backed by top clients from the enterprise pharmaceutical and nbfc industry currently . We have plans to expand to fmcg retail , insurance , automobile and other industries very soon.
We are looking for a skilled 
Azure Data Engineer
to design, implement, and optimize data pipelines and analytics solutions on Microsoft Azure. You will work with structured and unstructured data, building modern data solutions that support business intelligence, data science, and AI workloads.
Key Responsibilities
- Design, develop, and deploy scalable 
ETL/ELT pipelines 
using 
  Azure Data Factory (ADF)
, 
  Data Flows
, and 
  Synapse Pipelines
.
- Build and manage 
  Azure SQL, Azure Cosmos Databases
, 
  Data Lakes
, and 
  Delta Lake
solutions.
- Develop and maintain 
  Azure Synapse Analytics
, 
  Databricks
, and 
  SQL-based
analytics workloads.
- Design and implement 
  data ingestion
from various on-prem and cloud sources (APIs, flat files, SQL/Oracle, etc.)
- Implement and maintain 
  data governance, data quality, and security controls
(RBAC, Purview, encryption, etc.)
- Monitor and optimize data workflows for 
  performance and cost-efficiency
using 
  Azure Monitor
, 
  Log Analytics
, and 
  Auto-scaling
.
- Collaborate with data scientists, BI developers, and business analysts to deliver complete end-to-end solutions.
- Use version control systems (e.g., 
  Git
), 
  CI/CD pipelines
, and 
  Infrastructure as Code (IaC)
where applicable.
Required Skills & Experience:
- Hands-on experience with 
Azure Data Factory (ADF) 
, including 
  mapping and wrangling data flows
.
- Strong SQL and T-SQL programming skills.
- Experience with 
  Azure Synapse Analytics
, 
  Azure SQL
, or 
  Cosmos DB
, 
  Azure Blob Storage, Resource Groups.
- Working knowledge of 
  Azure Data Lake Storage Gen2 (ADLS)
and 
  Delta Lake
.
- Familiarity with 
  data modeling
, 
  partitioning
, and 
  file formats
(Parquet, JSON, CSV, Avro).
- Experience in 
  performance tuning
of queries and pipelines.
- Understanding of 
  DevOps
principles and use of 
  CI/CD tools
in Azure (e.g., Azure DevOps, GitHub Actions).
Nice to Have:
- Experience with 
Azure Databricks 
or 
  Apache Spark
.
- Knowledge of 
  Python
, 
  PySpark
, or 
  PowerShell
scripting.
- Familiarity with 
  Power BI
, 
  Azure Purview
, or 
  Microsoft Fabric
.
- Experience with 
  event-based ingestion
using 
  Event Hubs
, 
  Service Bus
, or 
  IoT Hub
.
Certification:
Azure Data Engineer Associate Certification (DP-203)
preferred.
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