ETL developer

Ampcus, Inc; Orlando (FL); On-site; USD 110,000 - 160,000; Full time

Job summary

Ampcus Inc. seeks a Development Lead to drive end-to-end data ingestion, transformation, and distribution in a hands-on leadership role.

You will provide onsite presence and technical leadership to an offshore team, enforce code quality, and align pipelines with BI and analytics needs while developing critical data assets.

Qualifications

• Bachelor's degree in computer science or IT with related field preferred.
• 6+ years in data warehousing, data engineering, or ETL/ELT with leadership exposure.
• Advanced SQL and scripting in Python or Java; hands-on with modern data integration tools.
• Understanding of snowflake schemas, real-time streaming, and large dataset performance.
• Excellent communication, stakeholder management, and project leadership.

Responsibilities

• Develop data/ETL pipelines and review artefacts produced by offshore engineers.
• Design scalable, fault-tolerant batch and real-time ingestion pipelines.
• Oversee ETL/Streaming across heterogeneous sources to data warehouses and lakes.
• Implement data profiling, validation, and automated testing for data integrity.
• Collaborate with data architects, admins, product owners, and analysts to translate requirements.
• Troubleshoot bottlenecks, optimize SQL, and manage incident resolution.

Skills

SQL

Snowflake

Python

Good communication

Education

Bachelor's degree in computer science

Information Technology

related field

Job description

Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. We are in search of a highly motivated candidate to join our talented Team.

Strong Key Skills:

SQL, Snowflake, Python, Good communication

Role Overview:

• As a Development Lead, you will drive the end-to-end lifecycle of data ingestion, transformation, and distribution.
• You will provide onsite presence and technical leadership to offshore team, enforce best practices for code quality and testing, collaborate with enterprise architects to align data pipelines with critical business intelligence and analytics requirements.
• You will also be working hands-on developing critical data pipeline artefacts.

Key Responsibilities:

• Develop data/ETL pipelines and assess review the artefacts generated by a team of Data Engineers working from Offshore. Conduct code reviews, facilitate agile ceremonies, and oversee project delivery timelines.
• Design scalable, robust, and fault-tolerant batch and real-time data ingestion pipelines. Establish coding standards and integration design patterns.
• Oversee the Extraction, Transformation, and Loading (ETL) or Streaming Data processes across heterogeneous source systems (e.g., APIs, relational databases, flat files, and cloud storage) to centralized data warehouses and data lakes.
• Implement data profiling, Data reconciliation processes, validation frameworks, and automated testing procedures to ensure data integrity, consistency, and compliance.
• Partner with data architects, Data admins, product owners, and business analysts to translate complex business requirements into technical specifications.
• Troubleshoot critical data pipeline bottlenecks, optimize SQL queries, and manage incident resolution.

Required Qualifications:

• Bachelor's degree in computer science, Information Technology, or a related field.
• 6+ years of experience in data warehousing, data engineering, or ETL/ELT development, with at least 1-2 years in a technical lead or senior engineering capacity.
• Advanced proficiency in SQL and scripting languages like Python or Java.
• Hands-on experience with modern data integration platforms (e.g., AWS Glue, Apache Spark, or Kafka).
• Deep understanding of data modeling (snowflake schemas), real-time streaming architectures, and performance tuning large datasets.
• Exceptional communication, stakeholder management, and project management capabilities.

Ampcus is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veterans or individuals with disabilities.