Position Overview- We are seeking an experienced Senior Data Engineer to join our dynamic team. In this role, youll collaborate closely with cross-functional stakeholders to design, build, and optimize data pipelines, ensuring the reliability, scalability, and security of our data ecosystem. This is a W2-only position. No sponsorship (current or future) will be provided.Responsibilities- <ul><li>Data Pipeline Development<dl><dd>Design, implement, and maintain robust data pipelines using </dd> </dl>JavaPython, and Spark</li><li>Infrastructure as Code<dl><dd>Utilize </dd> </dl>Terraform to manage and automate cloud infrastructure components.</li><li>Cloud Expertise<dl><dd>Work extensively with </dd> </dl>AWS services, ensuring efficient data storage, processing, and analytics.</li><li>Data Modeling<dl><dd>Develop and maintain data models that support business requirements.</dd> </dl></li></ul>Qualifications- <ul><li>Bachelors degree in Computer Science, Engineering, or related field (Masters preferred).</li><li>5+ years of professional experience in data engineering.</li><li>Proficiency in Javaor Python</li><li>Proficiency in Spark</li><li>Familiarity with Terraform for infrastructure management.</li><li>Strong understanding of AWS services (S3, Redshift, EMR, etc.).</li><li>Experience with data modeling and ETL processes.</li><li>Ability to troubleshoot and optimize complex data workflows.</li><li>Excellent communication and collaboration skills.</li></ul>by Jobble

Title: Data EngineerLocation: Hybrid in Wilmington, DEW2 Only Contract to Hire (no sponsorship)NO C2C, MUST BE ON W2Conversion salary negotiable Company Overview: We are a dynamic and innovative organization seeking a talented Data Engineer to join our team. As a Data Engineer, you will play a crucial role in designing, developing, and maintaining our data pipelines and ETL processes. If you’re passionate about big data, cloud technologies, and creating scalable solutions, we’d love to hear from you!Responsibilities:<ol><li>ETL Development:</li></ol><ul><li>Hands-on experience with ETL tools and frameworks (e.g., Ab Initio, Apache NiFi, Talend).</li><li>Design, develop, and optimize data pipelines to extract, transform, and load data from various sources into our data lake.</li></ul><ol><li>Programming Skills:</li></ol><ul><li>Proficiency in Java (core Java) or other relevant programming languages (Scala or Python).</li><li>Ability to write efficient, maintainable, and scalable code for data processing.</li></ul><ol><li>Big Data Technologies:</li></ol><ul><li>Familiarity with big data technologies such as Hadoop and Spark.</li><li>Experience working with large-scale data sets in a complex organizational environment.</li></ul><ol><li>Cloud Native Experience:</li></ol><ul><li>Practical knowledge of cloud platforms, preferably AWS.</li><li>Understanding of cloud-native architecture and best practices.</li></ul><ol><li>Database and Querying Languages:</li></ol><ul><li>Proficiency in SQL and NoSQL databases.</li><li>Ability to model and query relational databases (RDBMS) and NoSQL databases.</li></ul><ol><li>Event-Driven Architecture:</li></ol><ul><li>Proven experience with event-driven/streaming architectures using tools like Kafka.</li><li>Ability to design and implement real-time data processing solutions.</li></ul><ol><li>Unix Shell Scripting:</li></ol><ul><li>Familiarity with Unix/Linux environments and shell scripting.</li><li>Troubleshoot and maintain data pipelines using shell scripts.</li></ul><ol><li>Software Engineering Best Practices:</li></ol><ul><li>Working proficiency with software engineering toolsets (e.g., Git, Jenkins, Docker).</li><li>Collaborate with cross-functional teams to ensure code quality and operational stability.</li></ul><ol><li>Nice-to-Have:</li></ol><ul><li>Knowledge of AWS services (e.g., S3, Glue, EMR).</li><li>Experience with Ab Initio for ETL development.</li><li>Understanding of Python for data processing.</li></ul>Qualifications:<ul><li>Bachelor’s degree in Computer Science, Information Systems, or related field.</li><li>Minimum 4-5 years of relevant experience in data engineering or related roles.</li><li>Strong problem-solving skills and ability to work independently.</li></ul>If you’re passionate about data engineering, enjoy working in a collaborative environment, and want to contribute to cutting-edge projects, we encourage you to apply!

We are seeking an experienced Senior Data Engineer to join our dynamic team. In this role, you’ll collaborate closely with cross-functional stakeholders to design, build, and optimize data pipelines, ensuring the reliability, scalability, and security of our data ecosystem. Responsibilities- <ul><li>Data Pipeline Development: Design, implement, and maintain robust data pipelines using Java, Python, and Spark.</li><li>Infrastructure as Code: Utilize Terraform to manage and automate cloud infrastructure components.</li><li>Cloud Expertise: Work extensively with AWS services, ensuring efficient data storage, processing, and analytics.</li><li>Data Modeling: Develop and maintain data models that support business requirements.</li></ul> Qualifications- <ul><li>Bachelor’s degree in Computer Science, Engineering, or related field (Master’s preferred).</li><li>5+ years of professional experience in data engineering.</li><li>Proficiency in Java or Python</li><li>Proficiency in Spark</li><li>Familiarity with Terraform for infrastructure management.</li><li>Strong understanding of AWS services (S3, Redshift, EMR, etc.).</li><li>Experience with data modeling and ETL processes.</li><li>Ability to troubleshoot and optimize complex data workflows.</li><li>Excellent communication and collaboration skills.</li></ul>

Our client is looking for a Data Engineer with extensive cloud and ETL experience This is a hybrid role in the Deerfield area. W2 only, No C2CResponsibilities<ul><li>Apply proven software development methodologies to ensure efficient and reliable data engineering processes.</li><li>Set up and maintain CI/CD pipelines using tools like Jenkins or similar.</li><li>Proficiently use Git/GitHub and manage artifacts with Artifactory</li><li>Apply skills in designing systems for high availability and scalability.</li><li>Develop and implement API service architecture to facilitate data exchange between components.</li><li>Leverage experience with both relational databases and NoSQL databases for data storage and retrieval.</li><li>Experience with cloud databases like AWS and Snowflake.</li><li>Familiarity with ETL/ELT tools such as Ab-Initio, DataStage, or Informatica</li></ul>Qualifications<ul><li>Hands on experience with Amazon Web Services (AWS) based solutions such as Lambda, Dynamo dB, Snowflake and S3. </li><li>Knowledge of Data Warehouse technology (Unix/Teradata/Ab Initio/Python/Spark/Snowflake/No SQL) </li><li>Experience in migrating ETL processes (not just data) from relational warehouse Databases to AWS based solutions. </li><li>Experience in building & utilizing tools and frameworks within the Big Data ecosystem including Kafka, Spark, and NoSQL. </li><li>Knowledge of Data Warehouse technology (Unix/Teradata/Ab Initio) </li><li>Strong experience with CI/CD pipelines with Jenkins or similar; Git/GitHub; Artifactory</li></ul>by Jobble

Our client is looking for a Data Engineer with extensive cloud and ETL experience This is a hybrid role in the Deerfield area. W2 only, No C2CResponsibilities<ul><li>Apply proven software development methodologies to ensure efficient and reliable data engineering processes.</li><li>Set up and maintain CI/CD pipelines using tools like Jenkins or similar.</li><li>Proficiently use Git/GitHub and manage artifacts with Artifactory</li><li>Apply skills in designing systems for high availability and scalability.</li><li>Develop and implement API service architecture to facilitate data exchange between components.</li><li>Leverage experience with both relational databases and NoSQL databases for data storage and retrieval.</li><li>Experience with cloud databases like AWS and Snowflake.</li><li>Familiarity with ETL/ELT tools such as Ab-Initio, DataStage, or Informatica</li></ul>Qualifications<ul><li>Hands on experience with Amazon Web Services (AWS) based solutions such as Lambda, Dynamo dB, Snowflake and S3. </li><li>Knowledge of Data Warehouse technology (Unix/Teradata/Ab Initio/Python/Spark/Snowflake/No SQL) </li><li>Experience in migrating ETL processes (not just data) from relational warehouse Databases to AWS based solutions. </li><li>Experience in building & utilizing tools and frameworks within the Big Data ecosystem including Kafka, Spark, and NoSQL. </li><li>Knowledge of Data Warehouse technology (Unix/Teradata/Ab Initio) </li><li>Strong experience with CI/CD pipelines with Jenkins or similar; Git/GitHub; Artifactory</li></ul>

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