The Role
The Senior Data Engineer will design and develop scalable cloud-based data pipelines, optimize ETL processes, and manage Snowflake architecture.
Summary Generated by Built In
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
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
- 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
- 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
Top Skills
Amazon Cloudwatch
Amazon Dynamodb
Amazon Ec2
Amazon Emr (Spark)
Amazon Redshift
Amazon S3
Apache Airflow (Mwaa)
AWS
Aws Datazone
Aws Glue
Aws Lambda
Python
Snowflake
SQL
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The Company
What We Do
NorthBay is an AWS Premier Partner focused on Database & Application migrations, data & analytics, DevOps & DataOps, application modernization and ML/Ai.
Our practice areas include big data and analytics, machine learning, artificial intelligence and database migrations.
