What are the responsibilities and job description for the Data Engineer III - Chandler, AZ, Tampa, FL, Austin, TX, Atlanta, GA, Baltimore, MD position at TechniPros, LLC?
Job Title: Data Engineer III
Location: Chandler, AZ, Tampa, FL, Austin, TX, Atlanta, GA, Baltimore, MD
Can do Only w2, No C2C
Job Summary:
- We are seeking an experienced Data Engineer III to join an Enterprise Data team focused on modernizing and consolidating cloud-based data platforms. The ideal candidate will design, develop, and optimize scalable data pipelines, ingestion frameworks, and data models supporting analytics, reporting, operational insights, and near real-time data delivery.
- This role requires strong expertise in cloud data engineering, AWS, Snowflake, SQL, Python, ETL/ELT frameworks, streaming technologies, and data governance. The candidate will collaborate with engineering teams and business stakeholders to translate requirements into secure, scalable, and high-performing data solutions.
Key Responsibilities:
- Design, build, maintain, and optimize scalable and reliable data pipelines and ETL/ELT workflows.
- Develop and enhance cloud-based data ingestion frameworks using AWS data services, including Glue and DataSync.
- Build and support data solutions using Snowflake, dbt, and modern data engineering platforms.
- Implement ingestion strategies for structured and unstructured data from databases, APIs, and streaming sources.
- Ensure data quality, accuracy, security, and compliance across enterprise data platforms.
- Develop and maintain scalable data models supporting analytics, reporting, and business intelligence needs.
- Troubleshoot and resolve issues related to data pipelines, ingestion jobs, workflows, and data processing.
- Monitor data ecosystem performance and perform performance tuning to identify and resolve bottlenecks.
- Support real-time and near real-time data delivery requirements.
- Integrate operational and QoS telemetry datasets to improve visibility and reporting capabilities.
- Apply data governance standards, regulatory compliance requirements, and security best practices.
- Partner with technical and business stakeholders to gather requirements and deliver scalable data architectures.
- Provide technical guidance, communicate project status, and drive ownership of assigned deliverables.
Required Skills:
- 5 years of experience in Data Engineering designing and supporting scalable data solutions.
- Strong hands-on experience with:
- Snowflake
- SQL
- Python
- dbt
- ETL / ELT processes
- Data Modeling
- Experience designing and developing enterprise-scale data pipelines.
- Strong understanding of:
- Data ingestion frameworks
- Extract, Transform, Load (ETL) processes
- Workflow orchestration
- Data quality management
- Data governance
Experience working with:
- Apache Kafka
- Apache NiFi / Apache Flow-based tools
- Streaming and batch processing frameworks
- Hands-on experience with Amazon Web Services (AWS) data services.
- Experience handling structured and unstructured data sources.
- Knowledge of databases, messaging platforms, and real-time data processing.
- Experience with analytics, reporting, and operational data solutions.
- Ability to perform data platform troubleshooting and performance optimization.
Preferred Qualifications:
- Bachelor's degree in Computer Science, Information Systems, Engineering, or related field (or equivalent experience).
- Experience building cloud-native enterprise data platforms.
- Familiarity with:
- AWS Glue
- AWS DataSync
- Snowflake schema concepts
- Modern data architecture patterns
- Experience supporting artificial intelligence and advanced analytics workloads.
- Exposure to Apache HTTP Server and related infrastructure technologies.
Soft Skills:
- Strong communication skills with the ability to explain technical concepts to technical and non-technical audiences.
- Excellent decision-making and problem-solving abilities.
- Strong organizational skills with the ability to prioritize tasks and manage workload effectively.
- Ability to collaborate with cross-functional teams.
- Strong ownership mindset with attention to detail.
- Ability to work independently and manage multiple priorities.
Mandatory Skills:
- Must Have Technologies / Skills:
- Data Engineering
- Snowflake
- SQL
- Python
- dbt
- ETL / ELT
- Data Modeling
- AWS (Amazon Web Services)
- Apache Kafka
- Apache NiFi
- Data Pipelines
- Data Ingestion
- Streaming Data
- Batch Processing
- Data Quality
- Data Governance
- Performance Tuning
Best Regards:
Tanuja P
Phone:
Email: