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Noida · On-site · 5-8 Yrs · Sep 11
Information Technology Support Services · 201 to 500 Employees · Houston, US
Hiring: Engineering
What employees say
+ You will get salary on 7th day of next month
− -Don't trust this company -No Job Security -They are release you any time -Before Joining, confirm the employment & review the offer letter what is mention in given document
More reviews on the company profile.
Job description
Overview
This is a 12 weeks duration engagement. overlap work with US time zone
Responsibilities
- Design, develop, and maintain scalable data engineering pipelines.
- Work with large-scale data processing and streaming technologies.
- Develop and optimize data pipelines using Apache Spark, Kafka, Airflow, and related technologies.
- Work with modern data lake and data warehouse technologies, including Apache Iceberg and Snowflake.
- Develop solutions using AWS cloud services.
- Write efficient and maintainable code using Java, Python, and SQL.
- Design and implement data models, including Star Schema designs.
- Troubleshoot, optimize, and improve data processing workflows and pipeline performance.
- Collaborate with technical teams to deliver data engineering solutions within defined timelines.
Qualifications
- 5+ years of professional experience in Data Engineering
- Strong hands-on experience with Apache Spark
- Strong experience with AWS
- Proficiency in Java, Python, and SQL
- Strong understanding of Data Modeling and Star Schema Design
- Candidates with hands-on experience across the majority of the required technology stack are strongly preferred. Candidates should be able to contribute independently with limited onboarding or ramp-up time. There may be some flexibility around Apache Flink experience for candidates who demonstrate strong expertise across the other core technologies. Candidates with strong experience across modern data engineering, cloud, streaming, and data platform technologies are encouraged to apply.
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Job application FAQ
Last updated 17 September 2026
- How do I apply for Data Engineer – Apache Spark, Iceberg & Kafka at Applicantz?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Applicantz may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Data Engineer – Apache Spark, Iceberg & Kafka role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Data Engineer – Apache Spark, Iceberg & Kafka remote or on-site in Noida, Uttar Pradesh?
- This listing is marked on_site with location Noida, Uttar Pradesh. Confirm details on the job description before applying.
- What skills matter for this Data Engineer – Apache Spark, Iceberg & Kafka role at Applicantz?
- This is a mid-level Data Engineer – Apache Spark, Iceberg & Kafka role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.