Senior Data Engineer (Snowflake, AWS, Python, DBT)

Senior Data Engineer (Snowflake, AWS, Python, DBT)

Job Title: Senior Data Engineer Employment Type: Contract (6 Months) Work Mode: Remote Working Hours: 2:00 PM – 10:00 PM IST (Monday – Friday)

About the Role

We are seeking an experienced Senior Data Engineer to join our growing data engineering team and help build scalable, cloud-native data solutions. In this role, you will be responsible for designing, developing, and optimizing modern data platforms that power business intelligence, analytics, and data-driven decision-making.

You will play a key role in architecting robust ETL pipelines, driving Snowflake migration initiatives, and leveraging AWS services to build highly scalable and secure data ecosystems. This is an excellent opportunity for professionals passionate about solving complex data challenges and making a significant impact through modern data engineering practices.

Key Responsibilities

Design, develop, and maintain scalable ETL and data pipelines using Python and modern data engineering frameworks.

Build and optimize data processing workflows for high-volume clickstream, demographic, and business datasets.

Implement best practices for data pipeline development, code quality, testing, and performance optimization.

Configure, deploy, and manage AWS infrastructure including S3, Lambda, EC2, RDS, EMR, and related services.

Support data ingestion, storage, transformation, and retrieval workflows across cloud platforms.

Lead large-scale data migration projects to Snowflake while ensuring data integrity, security, and minimal business disruption.

Design and optimize Snowflake data warehouse architectures, schemas, and loading processes.

Develop and maintain cloud-native data solutions that meet scalability, reliability, and performance requirements.

Monitor data pipelines and infrastructure health through dashboards, alerts, and automated monitoring solutions.

Conduct root cause analysis, troubleshoot production issues, and drive incident resolution.

Collaborate with cross-functional teams, stakeholders, and business users to understand data requirements and deliver effective solutions.

Mentor junior engineers and promote technical excellence, knowledge sharing, and engineering best practices.

Document technical solutions, workflows, and operational procedures to support long-term maintainability.

Required Skills & QualificationsExperience

6+ years of experience in Data Engineering, Data Warehousing, or related fields.

Minimum 4+ years of hands-on experience working on Snowflake-based projects.

Technical Skills

Strong expertise in Snowflake, including:

Schema Design

Snowpipe

COPY INTO

Data Loading & Transformation

Query Performance Tuning

Security & Access Control

Hands-on experience with:

Python

SQL

DBT (Data Build Tool)

ETL/ELT Development

Data Modeling

Strong AWS experience with services such as:

S3

Lambda

EC2

RDS

EMR

QuickSight

Experience working with SQL databases and query optimization techniques.

Knowledge of monitoring, alerting, and observability tools for production data environments.

Experience designing and implementing scalable cloud-native data architectures.

Preferred Qualifications

Experience with Luigi or similar workflow orchestration tools.

Experience with large-scale cloud migration and modernization initiatives.

Exposure to CI/CD practices and Infrastructure as Code.

Strong problem-solving and analytical skills.

Excellent communication and stakeholder management abilities.

Why Join Us?

100% Remote Opportunity

Work on cutting-edge cloud and data engineering projects

Opportunity to lead Snowflake migration initiatives

Collaborative and innovation-driven culture

Exposure to large-scale data platforms and modern analytics ecosystems

If you are passionate about building scalable data solutions and want to contribute to impactful projects, we would love to hear from you.

Pay: ₹90,000.00 - ₹1,870,927.45 per month

Experience:

data engineering : 6 years (Required)

Snowflake: 4 years (Required)

Work Location: Remote