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KANINI
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Senior Data Engineer

Senior Data Engineer

KANINI

0 years

0 Lacs

chennai tamil nadu india

Posted:19 hours ago| Platform:

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Skills Required

data pyspark azure databricks analytics engineering integration orchestration spark sql relational tuning query etl deployment governance security compliance design reporting architecture monitoring logging reliability power visualization processing devops git communication ai collaborative cutting leadership support learning

Work Mode

On-site

Job Type

Full Time

Job Description

Senior Data Engineer

Job Summary

Senior Data Engineer

designing, developing, and optimizing large-scale data pipelines, ensuring data quality and

performance, and enabling data-driven insights for business growth. The ideal candidate will have deep hands-on experience in Azure data services and modern data engineering practices.

Primary Skills

Proven experience in
MicrosoftFabric
for data integration, orchestration, and analytics.
Strong proficiency in
PySpark
for scalable data transformation and processing.
Expertise in
Azure Databricks
and
Spark SQL
for advancedETL and data modeling.
Strong hands-on knowledge of
Azure Synapse Analytics
for warehousing and analytical workloads.
Proficiency in
SQL
and relational databases, with focus on performance tuning and query optimization.
Solid understanding of
ETL/ELT processes
,
Delta Lake
,and
data lakehouse architectures
.
Knowledge of
Azure Data Factory
,
Azure DevOps
, and CI/CD pipelinesfor deployment automation.
Understanding of
data governance, security, and compliance
(KeyVault, RBAC, Managed Identities).

Key Responsibilities

Design, develop, and maintain
scalable, end-to-end data pipelines
using
Microsoft Fabric, PySpark, and Databricks
.
Build and optimize
data models
and
ETL workflows
tosupport analytics, reporting, and machine learning.
Integrate data from
relational databases, APIs, and flat files
into
Azure Data Lake (ADLS)
and
Synapse
.
Implement
Delta Lake architecture
toensure ACID compliance and maintain historical data versions.
Collaborate with
data architects, analysts, and business teams
to translate business requirements into technical solutions.
Optimize Spark and SQLperformance for high-volume data workloads.
Implement
monitoring, alerting, and logging
solutions using
Azure Monitor
and
Log Analytics
.
Contribute to
data governance
and
security standards
, ensuring data quality and reliability across environments.
Mentor junior engineers and promote
best practices
in modern data engineering and Azure cloud technologies.

Preferred Skills

Experience with
Power BI
or similar visualization tools for integrated analytics.
Exposure to
real-timedata processing
and
event-driven architectures
(Kafka, Event Hubs).
Familiarity with
CI/CD best practices
using
Azure DevOps
and Git-based workflows.
Strong problem-solving, analytical, and communication skills.

Why Join KANINI?

Join KANINI’s award-winning Data Engineering Team, recognized as the "Outstanding Data Engineering Team" at DES 2025
Work on real-world problemsat the intersection of data, AI, and product development
Be part of a collaborative, innovative, and growth-driven environment.
Access to cutting-edge tools, leadership support, and continuous learning opportunities.

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