Job summary
Job post source
This job is directly from DRC Systems
Job overview
The Data Engineer role at DRC Systems involves developing and maintaining large-scale data pipelines and analytics solutions to support high-impact projects.
Responsibilities and impact
The candidate will build real-time and batch data pipelines using Kafka, Snowflake, and Python, work on distributed data processing, ELT workflows, and performance tuning, and handle Spark, Kafka Streams, and cloud data integration.
Experience and skills
Requires strong experience with Kafka, Snowflake, Python, Spark, Kafka Streams, distributed data processing, ELT workflows, and performance tuning; familiarity with financial services or regulatory reporting is a plus; local candidates only; W2 and 1099 employment types preferred, no C2C or third-party vendors.
Work environment and culture
The role is hybrid with onsite presence required three days a week starting Day 1, indicating a collaborative and flexible work environment.
Job location and travel
The position is located in New Jersey, NJ with a hybrid work model requiring onsite presence three days per week starting from Day 1.
Application process
Applicants should send their resume to anirban.mallick@drcsystems.com; only local candidates will be considered.
Company overview
DRC Systems is a global IT services and consulting company specializing in software development, digital transformation, and enterprise solutions. They generate revenue through custom software development, IT consulting, and managed services for various industries, including healthcare, finance, and retail. Founded in 2009, the company has a strong focus on innovation and customer-centric solutions, leveraging cutting-edge technologies like AI, IoT, and blockchain to deliver high-quality services. DRC Systems is known for its agile methodologies and commitment to delivering scalable and efficient solutions to its clients worldwide.
How to land this job
Tailor your resume to highlight expertise in building real-time and batch data pipelines, especially using Kafka, Snowflake, and Python, emphasizing hands-on experience with Spark and Kafka Streams.
Showcase your knowledge of distributed data processing, ELT workflows, and performance tuning, as these are critical skills for this Data Engineer role at DRC Systems.
Apply not only through the DRC Systems corporate website but also on LinkedIn and other job boards where the position is posted to increase your chances of being noticed.
Connect on LinkedIn with current Data Engineers or team members in the data division at DRC Systems; use ice breakers like commenting on recent company projects involving data streaming or asking about their experience working hybrid onsite.
Optimize your resume for ATS by incorporating keywords from the job description such as 'Kafka,' 'Snowflake,' 'Spark,' 'ELT workflows,' and 'data pipeline architecture' to ensure it passes initial automated screenings.
Use Jennie Johnson's Power Apply feature to automate tailoring your resume, find all relevant application portals, and identify LinkedIn contacts for networking, allowing you to focus your time on preparing for interviews and skill enhancement.
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