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KANINI
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Senior Data Engineer

Senior Data Engineer

KANINI

8 years

0 Lacs

chennai tamil nadu india

Posted:6 hours ago| Platform:

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Skills Required

data etl programming storage dataflow airflow sql query optimization clustering schedule apache processing automation pipeline database nosql mongodb git docker kubernetes design automate reliability efficiency engineering ai collaborative cutting leadership support learning

Work Mode

On-site

Job Type

Full Time

Job Description

Job Summary

Data Engineer

BigQuery

Experience:

Location:

Primary Skills

Google Cloud Platform (GCP):
Hands-on experience with BigQuery, Cloud Storage, Dataflow, Pub/Sub, and Airflow (Composer).
BigQuery:
Strong SQL skills with expertise in query optimization, partitioning, clustering, and cost management.
Airflow (Composer):
Proven ability to build, schedule, and monitor ETL/ELT pipelines using Apache Airflow.
Programming:
Proficiency in
Python
or
Java
for data processing, automation, and pipeline development.
ETL & Data Integration:
Designing and implementing end-to-end ETL/ELT workflows for structured and unstructured data.
Database Management:
Strong command of SQL; working knowledge of NoSQL databases like MongoDB or Firestore.
Version Control & DevOps:
Experience with Git, CI/CD practices; familiarity with Docker/Kubernetes is a plus.

Key Responsibilities

Design, develop, and maintain
scalable data pipelines
and
data lake
solutions on GCP.
Build and automate
data ingestion and transformation
workflows using Airflow and BigQuery.
Ensure
data quality, performance, and security
across all cloud environments.
Collaborate with cross-functional teams to translate business needs into efficient data models.
Optimize queries, manage schema evolution, and maintain
high data availability
.
Implement
data governance
, version control, and CI/CD best practices.
Monitor and troubleshoot data pipelines for
continuous reliability and efficiency improvements
.

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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