Data Engineer

Akkodis is seeking a Data Engineer for a Contract job with a client in Plano TX . Ideally looking for applicants with a solid background in the financial services industry .Job Title: Data EngineerLocation: Plano TX -hybridDuration: 7 months with extensionRate Range: 65/hr -$68/hr on w2 /C2C(Nego) ; The rate may be negotiable based on experience, education, geographic location, and other factors.Interviews1 hour zoom video interviewCurrent Project: This is a migration project focused on placing candidates in the appropriate roles based on their technical background and skill set. The ideal candidate will have a strong Data Engineering background with extensive experience working with Big Data technologies.Day-to-Day Responsibilities: Engineers will operate within a standard engineering environment, following established development practices, processes, and reporting standards.Team Focus: The work will be divided into two primary areas:Feature Development: One team will focus primarily on the development and delivery of new features and capabilities.Migration & Pipeline Work: The second team will focus on migrating existing processes and workloads into data pipelines and supporting the broader migration initiative.Existing Team Structure: Kishore currently has three teams working on the project. The two new teams will work collaboratively alongside these existing teams to support the overall project objectives.Technical Leadership: The Tech Leads will oversee the technical details, coordinate work across teams, monitor progress, and provide updates andreporting to Kishore.The hiring team is particularly interested in candidates with the following experience:Strong experience with Big Data technologies and large-scale data environments.Proficiency in Python is preferred, along with experience in Java. Candidates who are highly skilled in one primary programming language should also have working knowledge of the other.Strong SQL skills and experience working with complex data environments.Hands-on experience with AWS and cloud technologies, including cloud-based data solutions and services.Experience designing, developing, and supporting data pipelines and data orchestration workflows.A strong Data Engineering background, with experience building and supporting scalable data solutions.Experience working in an Agile engineering environment and collaborating effectively with cross-functional teams.Hands-on experience with Kafka and event-streaming technologies.Experience with Spark for large-scale batch processing and distributed data workloads.Given the pace and immediate needs of the migration project, candidates with prior Capital One experience will be better positioned to hit the ground running with minimal ramp-up time and quickly understand the organization's environment, processes, and technical landscape. Key ResponsibilitiesDesign, build, and operate large-scale batch and real-time data pipelines that move, transform, and publish data across the enterprise with high reliability and low latency.Collaborate with Agile engineering teams to architect and implement end-to-end data solutions, from data ingestion and workflow orchestration through event streaming and downstream data delivery.Required Qualifications4+ years of experience building or operating data pipelines and orchestration systems.4+ years of data or application engineering experience with Java, Python, and SQL.4+ years of experience building and operating real-time or event-driven data systems.4+ years of experience working with distributed data and computing technologies such as Kafka, Spark, EMR, Hadoop, or equivalent platforms.4+ years of experience with cloud-based data warehousing platforms at scale.4+ years of experience working with cloud platforms such as AWS, Azure, or GCP.3+ years of experience with pipeline scheduling and workflow orchestration tools.2+ years of experience implementing secure secrets management and credential handling in production environments.2+ years of experience working in Agile engineering environments.Familiarity with data observability practices, including monitoring, alerting, SLA tracking, and data quality frameworks.Experience working in financial services or other regulated, compliance-driven industries.If you are interested in this role, then please click APPLY NOW. For other opportunities available at Akkodis, or any questions, feel free to contact me at 3039422431 /soma.chakraborty@akkodisgroup.com.Equal Opportunity Employer/Veterans/DisabledBenefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client.To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit https://www.akkodis.com/en/privacy-policy.The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:· The California Fair Chance Act· Los Angeles City Fair Chance Ordinance· Los Angeles County Fair Chance Ordinance for Employers· San Francisco Fair Chance Ordinance