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# Lead Data Engineer

- **Company:** Abode Techzone LLC
- **Location:** Dallas, TX, United States
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Airflow, Amazon Web Services, Amazon S3, Microsoft Azure, BigQuery, Software as a Service, Cloud Computing, Cloud Storage, Code Review, Databases, Data Architecture, Data Validation, Information Engineering, Data Governance, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Transformation, Data Migration, Data Systems, Data Warehousing, IBM InfoSphere DataStage, DevOps, Data Flow Control, Apache Hadoop, Python (Programming Language), PostgreSQL, Meta-Data Management, Microsoft SQL Server, SQL Azure, MySQL, NumPy, Object-Oriented Software Development, Oracle (Applications), Performance Tuning, Systems Development Life Cycle, Query Optimization, Cloud Services, Azure Data Lake, Software Engineering, SQL Server Integration Services, SQLAlchemy, Talend, Data Processing, Google Cloud, Cloud Platform System, Data Ingestion, Azure Data Factory, Sql Optimization, Informatica Powercenter, Flask (Web Framework), Snowflake, Apache Spark, Indexer, Infrastructure as Code (IaC), Gitlab, Fastapi, Pandas, Data Lakes, Pyspark, Kubernetes, Information Technology, AWS Glue, Apache Kafka, Terraform, Stream Processing, Data Pipelines, Serverless Computing, Docker, Jenkins, Amazon Redshift, Databricks, Microservices
- **Published:** November 6, 2026
- **Apply:** https://www.thejobnetwork.com/job/a5a76b32-6182-4321-ad5e-adcabaa426aa/lead-data-engineer

## About the Role

Python Development

· Strong hands-on experience with:

o Python 3.x

o Pandas

o NumPy

o SQLAlchemy

o PySpark

o FastAPI / Flask

o Object-Oriented Programming (OOP)

· Experience developing production-grade Python applications.

· Strong debugging and optimization skills.

ETL & Data Integration

Hands-on experience with one or more ETL platforms:

· Informatica PowerCenter

· Azure Data Factory (ADF)

· SSIS

· Talend

· DataStage

· AWS Glue

· Apache Airflow

· Matillion

Strong understanding of:

· ETL/ELT Concepts

· Data Integration Patterns

· Data Migration

· Data Transformation

· Data Validation Frameworks

Databases

Advanced SQL expertise and experience with:

· SQL Server

· Oracle

· PostgreSQL

· MySQL

· Snowflake

· Amazon Redshift

Knowledge of:

· Query Optimization

· Indexing

· Partitioning

· Performance Tuning

Cloud Skills

Hands-on experience with at least one cloud platform:

Microsoft Azure

· Azure Data Factory

· Azure Data Lake

· Azure SQL Database

· Synapse Analytics

· Azure Functions

AWS

· AWS Glue

· S3

· Lambda

· Redshift

· EMR

Google Cloud (Preferred)

· BigQuery

· Dataflow

· Cloud Storage

Big Data & Modern Data Technologies

Preferred experience with:

· Apache Spark

· PySpark

· Hadoop Ecosystem

· Databricks

· Kafka

· Delta Lake

· Lakehouse Architecture

DevOps & Automation

· Git / GitHub / GitLab

· Azure DevOps

· Jenkins

· CI/CD Pipelines

· Docker

· Kubernetes (Preferred)

· Terraform (Preferred)

Leadership Responsibilities

· Lead a team of 5-15 data engineers and developers., · Bachelor's Degree in Computer Science, Engineering, Information Technology, or related discipline.

· 12 years of overall IT experience.

· 5 years of hands-on ETL development experience.

· 4 years of Python development experience.

· 2 years of technical leadership experience.

· Strong understanding of Software Development Lifecycle (SDLC) and Agile methodologies.

## Description

We are seeking a highly skilled Technical Lead - ETL & Python Development to lead the design, development, and delivery of enterprise data integration and data engineering solutions. The ideal candidate will possess strong expertise in Python, ETL development, data warehousing, cloud-based data platforms, and technical leadership. The role involves collaborating with business stakeholders, solution architects, data analysts, and engineering teams to build scalable, high-performance data pipelines and modern data solutions while mentoring development teams and driving engineering best practices., Technical Leadership

· Lead a team of ETL and Python developers across multiple projects.

· Drive technical design, code reviews, development standards, and best practices.

· Provide technical mentoring and guidance to team members.

· Conduct solution design workshops and architecture discussions.

· Collaborate with architects and project managers to ensure successful project delivery.

ETL Development & Data Integration

· Design, develop, and maintain enterprise-scale ETL/ELT solutions.

· Build scalable and reusable data ingestion frameworks.

· Design complex data transformation and enrichment pipelines.

· Integrate data from multiple sources including databases, APIs, cloud storage, SaaS applications, and external systems.

· Ensure data quality, consistency, validation, and reconciliation.

Python Development

· Develop robust and scalable Python applications for data processing and automation.

· Build reusable libraries, frameworks, and utilities.

· Develop APIs and microservices supporting data integration processes.

· Create automated data validation, monitoring, and alerting solutions.

· Optimize Python code for performance and scalability.

Data Engineering & Warehousing

· Design and implement data warehouse solutions.

· Develop data models supporting reporting and analytics needs.

· Build batch and near real-time data processing pipelines.

· Support data lake and lakehouse architectures.

· Implement metadata management and data governance processes.

Cloud & Modern Data Platforms

· Design and deploy cloud-native data solutions.

· Work with cloud services for data ingestion, storage, processing, and analytics.

· Support migration from legacy ETL platforms to modern cloud-based architectures.

· Implement Infrastructure as Code (IaC) and automation where applicable.

Quality & Performance Optimization

· Perform performance tuning for ETL jobs and Python applications.

· Identify bottlenecks and recommend optimization strategies.

· Ensure adherence to security, compliance, and governance standards.

· Lead root cause analysis and production issue resolution.