Azure Data Engineer
4 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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