Senior Data Engineer – AWS & Snowflake

Senior Data Engineer – AWS & Snowflake

Experience

6 to 10+ Years

Location

Islamabad, Lahore or Karachi (Hybrid)

Employment Type

Full-Time

Position Overview

We are looking for a skilled

Senior Data Engineer

• with strong
• AWS and Snowflake expertise
• to design, develop, and optimize scalable cloud-based data pipelines and modern data warehousing solutions.
• The role involves hands-on development, building high-performance
• ELT/ETL pipelines
• , and contributing to the architecture of a scalable
• cloud data platform
• . The ideal candidate has deep expertise in
• Snowflake data warehousing, AWS data services, and Python-based data engineering
• , along with a strong understanding of modern
• data engineering best practices
• .

Key Responsibilities

• Develop and maintain
• scalable batch and real-time data pipelines

on AWS

• Build and optimize
• ELT/ETL pipelines using Snowflake, AWS Glue, and Spark on EMR
• Design and implement
• Snowflake data warehouse solutions
• , including schema design, clustering, and performance optimization
• Develop and manage
• Snowflake data models (Star/Snowflake schemas)
• for analytics and reporting

Implement

workflow orchestration using Apache Airflow (MWAA)

Support

• serverless data processing using AWS Lambda
• Design and manage
• data lake architectures using Amazon S3 and Snowflake

Implement

data ingestion frameworks for structured and semi-structured data

Optimize

Snowflake query performance, storage usage, and compute costs

Apply

• data governance, security, and role-based access controls using AWS DataZone and Snowflake features
• Monitor and troubleshoot
• data pipelines and platform issues using Amazon CloudWatch and other monitoring tools

Collaborate with

• Analytics, BI, Data Science, and Business teams
• to enable data-driven decision-making

Write

• clean, scalable, and efficient code
• , and participate in
• peer code reviews and architecture discussions

Ensure

data quality, reliability, and compliance with governance standards

Required Skills & Experience

6–10+ years of experience

in

• Data Engineering or related roles
• 3+ years of hands-on experience designing and building data platforms on AWS
• Strong experience with
• Snowflake data warehouse architecture, development, and optimization

Proficiency with AWS data services, including

AWS Glue

Amazon EMR (Spark)

AWS Lambda

Apache Airflow (MWAA)

Amazon EC2

Amazon CloudWatch

Amazon Redshift

Amazon DynamoDB

AWS DataZone

Amazon S3

• Strong programming skills in
• Python for data engineering and pipeline development

Advanced

• SQL skills with query optimization and performance tuning
• Strong understanding of
• data warehousing concepts and dimensional modeling (Star/Snowflake)
• Experience building
• scalable ETL/ELT pipelines and handling large-scale datasets

Familiarity with

Agile/Scrum delivery environments

Strong

problem-solving and analytical skills

Nice to Have

AWS Professional Certification

(Solutions Architect / Data Analytics Specialty)

Snowflake Certification

(SnowPro Core or Advanced)

Experience with

real-time streaming technologies (Kinesis, Kafka)

Exposure to

data governance, data catalog, and metadata management tools

Experience with

CI/CD pipelines for data engineering workflows

Knowledge of

cost optimization strategies in AWS and Snowflake