Big Data Developer

We are looking for a Big Data Engineer with strong experience in building scalable data pipelines and working with large datasets using modern big data technologies. Key Responsibilities: Design and develop data pipelines using Apache Spark and Hadoop ecosystemProcess and analyze large-scale structured and unstructured dataBuild ETL workflows and optimize data processing jobsIntegrate data from multiple sources including APIs, databases, and streaming platformsEnsure data quality, reliability, a

Job#: 3027757 Job Description: Client: Financial Services Job Title: ETL/Big Data Developer Location: Irving, TX Contract Length: 12mo+ Pay Rate: $69 Top Requirements: 5+ years of Software Engineering experience (or equivalent through consulting, military, training, or education).Strong experience designing and developing ETL/ELT workflows and data pipelines for both batch and real-time processing.Proficiency with Apache Airflow, including designing and orchestrating complex DAGs.Plusses: Ex

About Us: LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700+ clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 9

As part of the Big Data Engineering and Analytics organization, this role will focus on enabling a modern data lake and data mesh architecture that supports high volume, high velocity, and high variety data across enterprise and platform domains. The Lead Data Engineer will bring deep hands-on expertise in Kubernetes, Kafka streaming platforms, and multi cloud ecosystems including AWS, Azure, and Google Cloud Platform. This role partners closely with data architects, analytics teams, and platfor