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Senior Data Engineer

Creole Studios -
Ahmedabad, Gujarat

Apply Now

Job details

Full-time
23 hours ago

Qualifications

CI/CD
Performance tuning
Data modeling
Cloud infrastructure
Azure
DevOps
Spark
AWS Certification
Git
SQL
AWS
Terraform
Continuous integration
Azure Certification
AI
Communication skills
Python

Full job description

Job Description

What you will do

Data Engineering & Platform Development

Design, develop, and maintain scalable batch and real-time data pipelines.
Build and optimize ETL/ELT workflows using modern data engineering frameworks.
Develop and manage data lake, data warehouse, lake house architecture and snowflakes.
Implement data quality checks, validation frameworks, and monitoring solutions.
Optimize data processing jobs for performance, scalability, and cost efficiency.
Collaborate with analytics, BI, and AI teams to deliver trusted datasets.

Cloud & Infrastructure

Build and maintain cloud-native data platforms on AWS, Azure, or GCP.
Implement Infrastructure as Code (IaC) using Terraform or equivalent tools.
Support CI/CD implementation for data engineering workloads.
Ensure security, compliance, and governance standards across data platforms.

Collaboration & Delivery

Work directly with stakeholders to understand business requirements and translate them into technical solutions.
Participate in architecture discussions, design reviews, and sprint planning.
Perform code reviews and mentor junior engineers.
Contribute to technical documentation, standards, and reusable assets.

Innovation & Practice Building

Evaluate and recommend modern data engineering tools and frameworks.
Contribute to internal accelerators, reusable components, and best practices.
Support proof-of-concepts and emerging technology initiatives in analytics, AI, and data platforms.

Requirements

Must have

4 to 5 years of experience in Data Engineering.
Strong expertise in Python, PySpark, and SQL.
Hands-on experience with Spark-based data processing at production scale.
Experience with cloud platforms such as AWS, Azure, or GCP.
Strong understanding of Data Lakes, Data Warehouses, and Lakehouse architectures.
Experience with orchestration tools such as Airflow, Azure Data Factory, or similar.
Experience with data modeling, performance tuning, and pipeline optimization.
Knowledge of CI/CD, Git, and DevOps practices.
Strong communication and stakeholder management skills

Mandatory Certifications (Any One Required)

Databricks Certified Data Engineer Associate
Databricks Certified Data Engineer Professional
AWS Certified Data Engineer – Associate
Microsoft Certified: Azure Data Engineer Associate (DP-203)
Google Professional Data Engine

Benefits

Opportunity to work on enterprise-scale cloud and data engineering projects.
Exposure to global clients and modern data platforms.
Sponsorship for advanced cloud and data engineering certifications.
Clear career progression toward Lead Data Engineer and Architect roles.
Collaborative engineering culture focused on learning and innovation.
Competitive compensation with performance-based incentives.

Date Opened

06/05/2026

Job Type

Full time

Work Experience

4-5 years

Industry

Computer

City

Ahmedabad

State/Province

Gujarat

Country

India

Zip/Postal Code

380015

Apply Now

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