Note: The job is a remote job and is open to candidates in USA. Code17Tek is seeking a Senior AWS Data Engineer to design, develop, and support scalable cloud-based data solutions. The role focuses on building AWS data pipelines, data lakes, lakehouse solutions, integrations, orchestration workflows, monitoring, security, and CI/CD processes while collaborating with technical and business stakeholders.

Responsibilities

• Design and develop scalable ETL/ELT data pipelines using AWS services
• Build and maintain data lakes and lakehouse solutions using Amazon S3
• Develop data-processing workflows using AWS Glue, Python, PySpark, and SQL
• Work extensively with either Databricks or Snowflake for data transformation, storage, and analytics
• Integrate data from databases, APIs, files, streaming systems, and third-party platforms
• Design efficient data models and optimize pipelines for performance, scalability, reliability, and cost
• Implement data-quality checks, error handling, monitoring, logging, and alerting
• Develop workflow orchestration using Apache Airflow, AWS Step Functions, or similar tools
• Work with services such as Amazon Redshift, Lambda, EMR, Kinesis, and Athena as required
• Implement CI/CD processes using GitHub Actions, Jenkins, AWS CodePipeline, or similar tools
• Apply security, governance, encryption, and access-control standards using AWS IAM and related services
• Collaborate with architects, analysts, data scientists, and business stakeholders to deliver reliable data solutions

Skills

• • 5+ years of experience in data engineering
• • 3+ years of hands-on experience building data solutions on AWS
• • Strong experience with AWS Glue, Amazon S3, Lambda, and other AWS data services
• • Strong hands-on experience with either Databricks or Snowflake
• • Proficiency in Python, PySpark, and SQL
• • Experience developing scalable ETL/ELT pipelines and data-integration solutions
• • Strong understanding of data lakes, data warehouses, lakehouse architecture, and medallion architecture
• • Experience integrating structured, semi-structured, and unstructured data
• • Knowledge of data modeling, performance optimization, data quality, and production monitoring
• • Experience working with REST APIs and data formats such as JSON, XML, CSV, and Parquet
• • Strong communication and problem-solving skills
• • Experience with Amazon Redshift, EMR, Athena, Kinesis, or MSK
• • Experience with Apache Airflow or AWS Step Functions
• • Knowledge of Terraform or AWS CloudFormation
• • Experience with CI/CD and automated deployment processes
• • Familiarity with AWS security, governance, and cost-optimization practices
• • AWS, Databricks, or Snowflake certification is a plus

Benefits

• Remote work arrangement
• Full-Time / Contract employment

Company Overview