Job summary
Job post source
This job is from a recruiting firm hiring for a separate company.
Job overview
The Data Engineer role involves leading the development and optimization of scalable and reliable batch and real-time data pipelines using technologies like Spark, Kafka, and Snowflake, contributing to the company's data integration and analytics capabilities.
Responsibilities and impact
The candidate will architect, design, and deploy data integration, streaming, and analytics solutions, support team members for end-to-end delivery, evaluate and tune technical performance, and maintain the Reference Data System using Kafka, Snowflake, and Python.
Experience and skills
Requires proven experience with Kafka, Snowflake, Python, distributed data processing, streaming architectures, SQL, data modeling, and ETL/ELT processes; familiarity with cloud platforms is a plus; financial markets knowledge and regulatory standards understanding are preferred but not required.
Company information
iPivot is a Minority and Women-Owned Business Enterprise (MWBE) recruiting firm based in New Jersey, specializing in technology placements.
Job location and travel
The position is hybrid based in New Jersey, NJ, allowing a mix of onsite and remote work.
Application process
Applicants should reply with an updated resume to the recruiter Suresh Durgam at durgams@ipivot.io to apply.
Unique job features
The role involves working with modern data technologies and financial market data systems, offering exposure to trade processing and regulatory compliance environments.
Company overview
iPivot is a technology consulting firm specializing in digital transformation services, helping businesses leverage cutting-edge technologies to optimize their operations and drive growth. The company generates revenue by offering a range of services, including IT strategy consulting, software development, and systems integration, tailored to meet the specific needs of its clients across various industries. Founded with a mission to empower organizations through innovative solutions, iPivot has established a reputation for delivering high-quality, customized technology solutions. Candidates should be aware of iPivot's commitment to staying at the forefront of technological advancements and its emphasis on fostering a collaborative and dynamic work environment.
How to land this job
Tailor your resume to highlight your expertise in building and optimizing batch and real-time data pipelines, emphasizing your hands-on experience with Kafka, Snowflake, and Python as these are core technologies for iPivot's Data Engineer role.
Showcase your ability to architect and deploy scalable data integration and streaming solutions, specifically mentioning Spark and Kafka ecosystem components like Confluent, Kafka Connect, and Kafka Streams to align with the job requirements.
Apply through multiple platforms including iPivot's official corporate website and LinkedIn to maximize your chances of visibility and ensure your application is seen by multiple recruiters.
Connect with current Data Engineers or team members in the relevant division at iPivot on LinkedIn; when reaching out, use ice breakers such as commenting on a recent iPivot data project, or asking about their experience working with Snowflake and Kafka in a hybrid environment.
Optimize your resume for ATS by incorporating keywords directly from the job description like 'data pipelines,' 'Kafka,' 'Snowflake,' 'Python scripting,' 'data integration,' and 'performance tuning' to ensure your resume passes automated screenings.
Leverage Jennie Johnson's Power Apply feature to automate tailored applications, identify multiple application channels, and find relevant LinkedIn contacts, allowing you to focus your time on preparing for interviews and networking effectively.
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