ApTask | Big Data Developer | philadelphia, pa
ApTask - philadelphia, PA
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About Client: The Client is a leading global IT services and consulting company, providing a wide range of services to clients in various industries, including banking, financial services, retail, manufacturing, healthcare, and more. It is one of the largest employers in the IT industry and has a vast and diverse workforce. The company places a strong emphasis on employee training and development. Client is known for its commitment to innovation and invests in research and development to stay at the forefront of technological advancements. It offers a comprehensive set of services, including: IT Services: Application development, maintenance, and testing. Consulting: Business consulting, IT strategy, and digital transformation. Business Process Outsourcing (BPO): Outsourcing of business processes to improve efficiency. Enterprise Solutions: Implementation and support of enterprise-level software solutions. Digital Services: Services related to digital technologies, such as analytics, cloud, and IoT. Salary Range: $120K-$130K/Annum Job Description: Technical/Functional Skills : Scala Spark, Python, Big Data, Kafka, AWS, Oracle SQL, Hive SQL, Databricks, and Jenkins. Roles & Responsibilities We are seeking a talented and experienced Data Framework Development Technical Lead to join our growing team. In this exciting role, you will play a pivotal role in shaping the future of our data infrastructure by designing, developing, and implementing cutting-edge data frameworks. You will split your time equally between: 50% Leading and Guiding: Understanding the data needs and challenges faced by various development teams. Designing and architecting scalable, efficient, and secure data frameworks using Python, Java, Spark, and Scala. Providing clear technical guidance and mentorship to your team, fostering collaboration and knowledge sharing. Conducting code reviews and ensuring adherence to best practices and coding standards. Documenting processes and best practices for future reference and knowledge transfer. 50% Hands-on Development: Writing clean, efficient, and maintainable code for data pipelines, data processing tasks, and data quality checks. Implementing unit tests and integration tests to ensure code quality and reliability. Troubleshooting and resolving technical issues related to the data framework. Staying abreast of the latest advancements in data engineering technologies and best practices. To be successful in this role, you will need: 5+ years of experience in data engineering or a related field. +2 years Framework experience Proven experience in designing and developing scalable data frameworks using Python, Java, Spark, and Scala. Strong leadership skills with the ability to motivate and guide a team of engineers. Excellent communication and collaboration skills. A passion for data engineering and a commitment to continuous learning. Experience in code review and documentation is a plus. Experience with cloud platforms like AWS. Familiarity with data governance and security principles. Experience with DevOps practices and tools. Generic Managerial Skills : Motivated team player with excellent communication, interpersonal, analytical and problem-solving skills. About ApTask: ApTask is a leading global provider of workforce solutions and talent acquisition services, dedicated to shaping the future of work. As an African American-owned and Veteran-certified company, ApTask offers a comprehensive suite of services, including staffing and recruitment solutions, managed services, IT consulting, and project management. With a focus on excellence, collaboration, and innovation, ApTask provides unparalleled opportunities for professional growth and development. As a member of the ApTask team, you will have the chance to connect businesses with top-tier professionals, optimize workforce performance, and drive success across diverse industries. Join us at ApTask and be part of our mission to empower organizations to thrive while fostering a diverse and inclusive work environment. Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview. Candidate Data Collection Disclaimer: At ApTask, we prioritize safeguarding your privacy. As part of our recruitment process, certain Personally Identifiable Information (PII) may be requested by our clients for verification and application purposes. Rest assured, we strictly adhere to confidentiality standards and comply with all relevant data protection laws. Please note that we only collect the necessary information as specified by each client and do not request sensitive details during the initial stages of recruitment. If you have any concerns or queries about your personal information, please feel free to contact our compliance team at
Created: 2024-11-26