Remote ETL Developer | Amaze Systems Inc | Remote

Amaze Systems Inc; United States; Remote; USD 100,000 - 160,000; Full time

Job summary

Amaze Systems Inc is seeking a Remote ETL Developer with 4–6 years in data engineering to design, build, and optimize ETL/ELT pipelines across cloud and on-prem environments. You will work with Informatica, SSIS, Talend, DataStage, or Matillion, plus SQL/PLSQL, Python, and cloud services (AWS/Azure/GCP) to ensure reliable data delivery.

Join a premier IT recruitment and digital consulting enterprise, with a full-time remote arrangement and opportunities for career growth.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, IT, Software Engineering, or related field.
• 4–6 years of progressive experience in software/data engineering and ETL pipeline development.
• Hands-on expertise with enterprise ETL tools (Informatica, SSIS, Talend, DataStage or Matillion).
• Advanced SQL, PL/SQL, and data warehousing/modeling knowledge.
• Python for data processing workflows and automation.
• Cloud data platforms (AWS, Azure, GCP) and services (ADF, Databricks, Snowflake).
• Strong analytics, debugging, and problem-solving under pressure; remote-ready.
• Legal work eligibility for full-time remote work.

Responsibilities

• Design, develop, test, optimize, and maintain scalable ETL/ELT pipelines and workflows.
• Write high-performance SQL/PL/SQL scripts and stored procedures.
• Build distributed data processing pipelines and data warehousing models.
• Integrate diverse data sources into centralized data lakes and warehouses using Python.
• Implement DevOps practices and automated deployment for data pipelines.
• Profile data, validate quality, tune performance, and debug large datasets.
• Document data schemas, pipeline topologies, and runbooks for operations.

Skills

Informatica

SSIS

Talend

DataStage

Matillion

SQL

PL/SQL

Python

AWS

Azure

GCP

Snowflake

Databricks

Airflow

Docker

Kubernetes

Education

Bachelor’s or Master’s degree in Computer Science / IT / Software Engineering

Tools

Informatica

SSIS

Talend

DataStage

Matillion

Job description

Position Summary:

Amaze Systems Inc is actively seeking an experienced, high-caliber, and technical Remote ETL Developer with 4 to 6 years of progressive professional experience in data engineering, extract-transform-load (ETL) pipeline development, and data warehousing to join our client engineering team on a full-time permanent remote basis. In this critical data infrastructure and analytics role, you will be responsible for designing, building, securing, and scaling robust integration solutions and data pipelines across distributed cloud and on-premise environments. You will leverage your deep specialist expertise in ETL tools (Informatica, SSIS, Talend, DataStage, or Matillion), SQL, PL/SQL, Python, and cloud data platforms to deliver uncompromised data reliability, high throughput, and operational excellence. This opportunity offers competitive compensation, executive technical visibility, and exceptional career growth prospects within a premier global IT recruitment and digital consulting enterprise.

Detailed Job Description:

As a Remote ETL Developer supporting Amaze Systems Inc in a remote capacity, you will take full operational, tactical, and technical ownership of data integration architecture, ETL/ELT pipeline execution, performance optimization, and database modeling across mission-critical analytics platforms. Your day-to-day responsibilities include designing, developing, testing, and maintaining scalable ETL pipelines and automated data ingestion frameworks utilizing industry-standard tools such as Informatica, SSIS, Talend, DataStage, or Matillion, building, optimizing, and managing distributed big data processing and transformation workflows using Python and advanced SQL/PL/SQL, provisioning, administering, and securing cloud data warehouses and modeling architectures across AWS, Azure, or GCP platforms, collaborating closely with cross-functional software engineering, data science, product, and executive stakeholder squads in Agile sprint cycles, conducting rigorous data quality audits, performance tuning, query optimization, and debugging across large-scale datasets, preparing comprehensive technical documentation of data models, pipeline topologies, and operational runbooks, and managing application requirements by sending your updated resume via direct email to Kajal C at [e-mail]. You will utilize your proactive troubleshooting and analytical problem-solving skills to resolve complex data pipeline failures and latency bottlenecks under strict service level agreements. Furthermore, you will manage application requirements ensuring strict compliance with the 4 to 6 years experience requirement and 100% remote work arrangement.

Key Responsibilities:

• Design, develop, test, optimize, and maintain scalable ETL/ELT data pipelines and automated integration workflows using industry tools.
• Author robust, high-performance data transformation scripts, stored procedures, and complex SQL/PL/SQL queries.
• Build, maintain, and optimize distributed data processing pipelines and data warehousing models across enterprise databases.
• Integrate diverse data sources into centralized data lakes and data warehouses utilizing Python for advanced data processing.
• Implement DevOps practices, version control workflows, and automated deployment pipelines for data engineering applications.
• Conduct rigorous data profiling, quality validation, debugging, performance optimization, and query tuning across large datasets.
• Collaborate seamlessly with cross-functional software engineering, healthcare analytics, and business intelligence squads.
• Maintain accurate, comprehensive technical documentation of data schemas, ETL architecture blueprints, and operational runbooks.

Required Qualifications & Skills:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Software Engineering, or a related technical discipline.
• Minimum of 4 to 6 years of progressive professional experience in software engineering, data engineering, and ETL pipeline development.
• Strong, demonstrable hands-on professional expertise in enterprise ETL tools such as Informatica, SSIS, Talend, DataStage, or Matillion.
• Comprehensive working knowledge and practical proficiency in advanced SQL, PL/SQL, and Data Warehousing/Modeling principles.
• Deep practical experience scripting data processing workflows and automation tasks utilizing Python.
• Solid practical experience working with cloud data platforms (AWS, Azure, GCP) and modern cloud data services (ADF, Databricks, Snowflake).
• Exceptional analytical, troubleshooting, debugging, and problem-solving capabilities under high-pressure conditions.
• Mandatory legal work eligibility and physical availability for full-time remote professional operations.

Nice-to-Have Skills:

• Prior professional working experience in the healthcare domain, clinical data systems, or healthcare insurance analytics.
• Professional certifications such as AWS Certified Data Analytics, Microsoft Certified: Azure Data Engineer Associate, or Snowflake Certified Data Engineer.
• Hands-on familiarity with modern data stack orchestration tools (Apache Airflow, dbt) and containerization (Docker, Kubernetes).
• Experience integrating real-time streaming data architectures (Kafka, Kinesis) into enterprise data warehouses.
• Exposure to agile software development methodologies and enterprise ITSM ticketing platforms (Jira, Confluence).

Application Information:

• Recruiter: Amaze Systems Inc Recruitment Division
• Contact Name: Kajal C
• Email: [e-mail]
• Phone:
• Company Website: https://www.amazesystemsinc.com
• Salary/Rate: Market Competitive / Enterprise Remote Data Package
• Deadline: Open until filled (Urgent Remote ETL Developer Opening)
• Notice Period: Immediate to 30 Days Preferred
• Contract Duration: Permanent / Full-Time Remote Engagement

Recruitment Pro Tip:

• When applying for this Remote ETL Developer position through Amaze Systems Inc, ensure your resume explicitly highlights your ETL tooling and SQL/Python portfolio, details your experience with cloud data platforms like Azure Data Factory or Snowflake, and emphasizes any healthcare domain background.