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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Associate Technology L2 specializing in Data Platforms - **Company:** Merican Inc - **Location:** Atlanta, GA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Agile Methodology, Airflow, Amazon Web Services, Business Analytics Applications, Microsoft Azure, Big Data, Cloud Database, Computer Programming, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Systems, DevOps, Apache Hadoop, Python (Programming Language), NoSQL, Scala (Programming Language), SQL Databases, Data Processing, Google Cloud, Cloud Platform System, Azure Data Factory, System Availability, Snowflake, Apache Spark, Data Lakes, Kubernetes, Data Analytics, Apache Kafka, Apache Nifi, Data Management, Machine Learning Operations, Stream Processing, Data Pipelines - **Published:** August 5, 2026 - **Apply:** https://www.dice.com/job-detail/a7bfbba5-039f-40d0-888a-8af734f926a9 ## About the Role * 5+ years of experience in data engineering, data platforms, or related fields. * Strong expertise in SQL, NoSQL, and data modeling. * Hands-on experience with big data technologies such as Hadoop, Spark, Kafka, or Snowflake. * Proficiency in cloud-based data solutions (AWS, Azure, Google Cloud Platform). * Experience with data pipeline orchestration tools like Apache Airflow, NiFi, or Kubernetes. * Strong programming skills in Python, Java, Scala, or similar languages. * Knowledge of data governance, security, and compliance best practices. * Ability to work in an Agile environment and collaborate with cross-functional teams. * Strong problem-solving and analytical skills with a focus on data-driven decision-making. Set Yourself Apart With * Experience with real-time data processing and streaming analytics. * Knowledge of machine learning pipelines and data science workflows. * Certifications in cloud platforms (AWS Certified Data Analytics Specialty, Azure Data Engineer, Google Cloud Platform Professional Data Engineer). * Exposure to DevOps practices for data engineering. ## Description As a Senior Associate Technology L2 specializing in Data Platforms, you will play a key role in designing, developing, and optimizing data solutions that enable scalable, high-performance data processing. You will work with cutting-edge technologies to build robust data pipelines, data lakes, and analytics platforms that drive business insights and innovation. Your Impact * Design, develop, and maintain scalable data platforms that support enterprise data needs. * Build and optimize data pipelines, ETL processes, and data integration workflows. * Collaborate with data scientists, analysts, and business stakeholders to ensure data solutions meet business requirements. * Implement best practices in data governance, security, and compliance. * Work with cloud-based data platforms such as AWS, Azure, or Google Cloud Platform. * Utilize big data technologies such as Hadoop, Spark, Kafka, and Snowflake. * Automate data processing and monitoring using tools like Airflow, Kubernetes, or Apache NiFi. * Troubleshoot and optimize data performance, ensuring high availability and reliability. * Stay updated on emerging trends in data engineering and contribute to innovation within the team. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Why Attend a Developer Event in 2026?](https://www.wearedevelopers.com/magazine/688-why-attend-a-developer-event-in-2026) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Best Paying Jobs in Technology](https://www.wearedevelopers.com/magazine/256-best-paying-jobs-in-technology)