ETL Developer

ETL developer

Location - Orlando Florida (4 days WFO 1 day remote)

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. This role requires working from Client location in Orlando from Mon-Thu and can work remotely on Fri.

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.

Qualifications :

Required Qualifications

Bachelors 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 12 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.

Additional Information :

All your information will be kept confidential according to EEO guidelines.

Remote Work :

No

Employment Type :

Contract