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NucleusTeq
Florham Park, NJ, United States
Senior Data Engineer (Python, AWS, Spark, Big Data) Location: Remote Duration: 4 months with possible extension Enterprise Data Machine Learning (EDML) employs innovative minds like yourself to design and develop software-systems that can meet the demand of our ever-growing customer base. Like a startup inside an enterprise, EDML focuses on using
Job Source: NucleusTeqVerisk Analytics
Jersey City, NJ, United States
Company Description We help the world see new possibilities and inspire change for better tomorrows. Our analytic solutions bridge content, data, and analytics to help business, people, and society become stronger, more resilient, and sustainable. Job Description We are looking for a savvy Data Engineer to join our growing team of analytics expe
Job Source: Verisk AnalyticsAdameservices
Iselin, NJ, United States
Role : Sr. Data Engineer Location : Iselin, NJ / New York City, NY(3-4 Days week onsite from Office is must have- Please share local candidates) Must Have : (ETL, ELT, Datawarehouse, Snowflake, Python, SQL, Pyspark, DataBricks, MS SQL, T-SQL, SSIS, SSRS with Only Strong Banking / Trading Domain) Roles & Responsibilities Design and develop robus
Job Source: AdameservicesInizio Partners
Jersey City, NJ, United States
About the job Sr. Data Engineer Our client is expanding their Data Engineering toolset and need an experienced AWS, Kafka streams, Python and SQL Data Engineer. This role will be required to design and implement our new data pipelines using AWS and Kafka streams, and train other team members. As a Sr. Data Engineer on our Data Engineering team, yo
Job Source: Inizio PartnersMondelēz International
East Hanover, NJ, United States
Are You Ready to Make It Happen at Mondelēz International? Join our Mission to Lead the Future of Snacking. Make It With Pride. Together with analytics team leaders you will support our business with excellent data models to uncover trends that can drive long-term business results. How you will contribute Looking for a savvy Sr Data Engineer to joi
Job Source: Mondelēz InternationalVerisk
Jersey City, New Jersey
Job Description We are looking for a savvy Data Engineer to join our growing team of analytics experts. The hire will be responsible for expanding and optimizing our data pipeline architecture. The ideal candidate is an experienced data pipeline builder and data wrangler with strong experience in handling data at scale. The Data Engineer will supp
Job Source: VeriskVerisk Analytics/ URIX
Jersey City, NJ, United States
Company Description We help the world see new possibilities and inspire change for better tomorrows. Our analytic solutions bridge content, data, and analytics to help business, people, and society become stronger, more resilient, and sustainable. Job Description We are looking for a savvy Data Engineer to join our growing team of analytics expe
Job Source: Verisk Analytics/ URIXPhaxis
Newark, NJ, United States
Salary is 130k to 170k + bonus 2 days onsite and 3 days remote Must Have Qualifications: - Experience building and maintaining Data pipelines using Python - Design, develop and maintain ETL processes - Design and build databases, data warehouses and data lakes - Data modeling and database design - AWS Cloud, and services such as S3, Glue, Lambda
Job Source: PhaxisBerkeley Heights, NJ, United States
Senior Data Engineer
We are seeking a skilled Senior Data Engineer to join our dynamic team. The ideal candidate will be responsible for designing, implementing, and maintaining scalable data pipelines and infrastructure to support our data-driven initiatives. As a Senior Data Engineer, you will collaborate with cross-functional teams to gather requirements, architect data solutions, and ensure data quality and reliability. You will also mentor junior team members and provide technical leadership in the development and implementation of best practices.
Our ideal team member loves interacting with a wide variety of clients, exploring new problems in Client ways, and contributing to a supportive, cross-functional environment while being self-directed. They take pride in their work yet are humble and open to feedback from all, with a curiosity and desire to continuously learn, expand, and deepen their skillset.
Responsibilities Design, develop, and maintain robust and scalable data pipelines for extracting, transforming, and loading (ETL) data from various sources into our data warehouse.
Architect and implement data models and schemas to support analytical and reporting needs.
Collaborate with data scientists and analysts to understand data requirements and implement solutions to support data-driven decision-making.
Optimize and tune database queries and data processing workflows for performance and efficiency.
Implement and maintain data governance and security measures to ensure data privacy and compliance with regulations.
Evaluate and recommend new tools, technologies, and frameworks to enhance our data infrastructure and capabilities.
Mentor junior team members and provide technical guidance and support in the design and implementation of data solutions.
Collaborate with cross-functional teams including software engineers, product managers, and business stakeholders to understand requirements and deliver high-quality data solutions.
Participate in code reviews, documentation, and knowledge sharing activities to foster a culture of collaboration and continuous learning.
Stay current with industry trends and best practices in data engineering and contribute to the evolution of our data platform and architecture.
Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or related field.
5 years of experience in data engineering or related roles, with a strong background in designing and implementing data pipelines and infrastructure.
Proficiency in programming languages such as Python, Java, or Scala.
Hands-on experience with cloud platforms such as AWS, Azure, or GCP.
Experience with big data technologies such as Hadoop, Spark, or Kafka.
Strong SQL skills and experience working with relational and non-relational databases.
Experience with data modeling, ETL tools, and workflow orchestration frameworks.
Familiarity with data warehousing concepts and technologies (e.g., Redshift, BigQuery, Snowflake).
Excellent problem-solving skills and attention to detail.
Strong communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
Proven track record of delivering high-quality data solutions in a fast-paced and dynamic environment.
Preferred Qualifications: Experience with containerization and orchestration tools such as Docker and Kubernetes.
Knowledge of machine learning and data science concepts.
Experience with streaming data processing and real-time analytics.
Certification in cloud platforms and/or data engineering technologies.
Join us in driving innovation and making an impact through data! If you are passionate about building scalable and reliable data solutions and thrive in a collaborative environment, we'd love to hear from you. Apply now to join our team as a Senior Data Engineer.
Axis Group® is an Equal Opportunity/Affirmative Action employer. Qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, veteran status, age, marital status, genetic information, or any other protected characteristic under applicable law. All candidates must be legally authorized to work in the United States. Axis Group® will not consider Visa Sponsorship for this position.
Email Alert for Sr. Data Engineer jobs in Berkeley Heights, NJ, United States
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