AWS / ETL Technical Lead/Remote

AWS / ETL Technical Lead/Remote

Posted 4 days ago by Apetan Consulting

Negotiable
Undetermined
Remote
Remote

Summary: We are seeking an experienced AWS / ETL Technical Lead to design, build, and lead scalable data integration and processing solutions on the cloud. The role involves driving data architecture, overseeing ETL development, and guiding teams in delivering reliable, high-performance data pipelines.

Key Responsibilities:

  • Lead the design and development of ETL pipelines and data workflows on AWS
  • Architect scalable data solutions using cloud-native services
  • Oversee data extraction, transformation, and loading processes from multiple sources
  • Ensure data quality, integrity, and governance standards are maintained
  • Collaborate with data engineers, analysts, and business stakeholders
  • Optimize data pipelines for performance, scalability, and cost efficiency
  • Implement monitoring, logging, and error-handling mechanisms
  • Guide and mentor team members on best practices and technologies
  • Participate in sprint planning, estimations, and technical decision-making

Key Skills:

  • Strong experience with AWS services such as Glue, S3, Lambda, Redshift, and EMR
  • Hands-on experience in ETL development and data pipeline design
  • Proficiency in SQL and at least one programming language (Python, Scala, or Java)
  • Experience with data warehousing concepts and large-scale data processing
  • Familiarity with orchestration tools (Airflow, Step Functions, etc.)
  • Strong understanding of data modeling and data architecture
  • Experience with version control systems (Git)

Salary (Rate): undetermined

City: undetermined

Country: undetermined

Working Arrangements: remote

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Job Title: AWS / ETL Technical Lead

Location-Remote

Job Summary

We are seeking an experienced AWS / ETL Technical Lead to design, build, and lead scalable data integration and processing solutions on the cloud. You will drive data architecture, oversee ETL development, and guide teams in delivering reliable, high-performance data pipelines.


Key Responsibilities

  • Lead the design and development of ETL pipelines and data workflows on AWS
  • Architect scalable data solutions using cloud-native services
  • Oversee data extraction, transformation, and loading processes from multiple sources
  • Ensure data quality, integrity, and governance standards are maintained
  • Collaborate with data engineers, analysts, and business stakeholders
  • Optimize data pipelines for performance, scalability, and cost efficiency
  • Implement monitoring, logging, and error-handling mechanisms
  • Guide and mentor team members on best practices and technologies
  • Participate in sprint planning, estimations, and technical decision-making

Required Skills & Qualifications

  • Strong experience with AWS services such as Glue, S3, Lambda, Redshift, and EMR
  • Hands-on experience in ETL development and data pipeline design
  • Proficiency in SQL and at least one programming language (Python, Scala, or Java)
  • Experience with data warehousing concepts and large-scale data processing
  • Familiarity with orchestration tools (Airflow, Step Functions, etc.)
  • Strong understanding of data modeling and data architecture
  • Experience with version control systems (Git)

Preferred Qualifications

  • Experience with streaming technologies (Kafka, Kinesis)
  • Knowledge of big data frameworks (Spark, Hadoop)
  • Familiarity with DevOps practices and CI/CD pipelines
  • Experience with data governance and security standards
  • AWS certifications (e.g., Solutions Architect, Data Analytics Specialty)

Leadership Expectations

  • Provide technical leadership and architectural guidance
  • Mentor and support data engineering teams
  • Drive best practices in data engineering and cloud usage
  • Collaborate cross-functionally to align technical solutions with business goals

Experience

  • 8–12+ years of overall IT experience
  • 4–6+ years of experience in AWS and ETL/data engineering roles
  • Prior experience in a technical lead or architect role preferred