Full Stack Software Engineer

Full Stack DeveloperConnectedX is focused on Digital Transformation and Product Engineering Services, enabling clients achieve their business, operating and technology needs for the digital age. Our unique industry-based, consultative approach helps clients implement digital transformation initiatives. Headquartered in Dallas, Texas, U.S. ConnectedX is a preferred partner for leading Fortune 1000 enterprises and is consistently admired by the clients and employees across the globe.What We Are Looking For:Full stack developer who has strong Java & Python (some Golang exposure) experience plus working exposure with data and analytics platforms. We are a Data platform and analytics team. Looking for someone who is familiar with technologies like Glue, Pyspark, and Java. Someone who is able to understand the workings of functions that make a performant data platform. Need someone with strong hands working on experience. You will be writing Python functions, Java functions and sometimes supporting existing Golang functions to help with the data platform day to day activities Python, Java, Golang. Plus if you have worked in a data or analytics platform prior and have a data infrastructure, data warehouse experience. 10 Years of overall experience is required. Somebody who is strong in Java and Python – Golang Data Centric candidate – Data pipeline. Redshift / Pyspark. Data Connector of their own. AWS experience. Highly experienced Full stack Engineer with expertise in cloud engineering, data engineering, and data warehousing, particularly within the AWS and Google Cloud ecosystem. Success in designing and implementing scalable cloud solutions, data pipelines, optimizing data architectures, and delivering high-quality analytics solutions. Proficient at collaborating with cross-functional teams to drive business insights and data-driven decision-making. Skilled in automating processes, and ensuring high availability and security in cloud environments.What You Will Do:Implemented scalable cloud architectures for enterprise applications using AWS services for Data platforms. Develops and maintains CI/CD pipelines to automate deployment processes and ensure continuous integration. Leads teams in designing and developing centralized data warehouses and data lakes. Preferably using Redshift. Creates and optimizes ETL processes to ingest and transform large datasets for analytical purposes. Utilizes Apache Airflow for scheduling and monitoring data workflows to ensure timely data delivery. Implements data partitioning, compression strategies, and query optimization techniques. Develops serverless applications using AWS Lambda and API Gateway to reduce operational costs. Automates configuration management using tools like Ansible and Terraform. Conducts security assessments and implemented IAM and VPC best practices to secure cloud environments. Integrated monitoring and logging solutions using CloudWatch, Prometheus, and ELK Stack for performance and security monitoring. Created automated reporting solutions and interactive dashboards using Tableau, Looker, and Power BI. Conducts data quality checks and ensured data integrity across multiple data pipelines.