Zorba Consulting India
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Bengaluru · On-site · 6-9 Yrs · Sep 29
Information Technology Support Services · 1 to 50 Employees · Mumbai, India
Hiring: Engineering
What employees say
+ 1) HR team will keep you updated throughout the hiring process. 2) Manager will keep on checking with you on weekly basis mainly checking about how well you are occupied and how is
− Nothing as of now to update here.
More reviews on the company profile.
Interview experience · AI Engineer
Consists of 3 rounds : First round: ML, DS, AI, SQL, and Python questions. Went from AI to ML, then ML to DS, and then SQL and Python at the end.
Difficult difficulty · Mumbai · 3 reports
More interview insightsJob description
Overview
We are looking for an experienced Data Engineer with 6+ years of experience in designing, developing, deploying, monitoring, and optimizing scalable batch and streaming data pipelines.
Responsibilities
- Design, develop, deploy, monitor, and optimize ETL/ELT workflows for both batch and real-time/streaming data processing.
- Develop scalable data processing solutions using Scala and Apache Spark.
- Build and manage streaming pipelines using Kafka, including handling high-volume data and back-pressure scenarios.
- Develop and maintain Airflow DAGs for complex data orchestration, dependency management, scheduling, retries, and idempotent execution.
- Work extensively with Google Cloud Platform (GCP) services including BigQuery and Dataproc.
- Implement Medallion Architecture (Bronze, Silver, Gold) with appropriate data quality validations, transformations, aggregations, and summarization.
- Perform performance tuning and optimization of Spark jobs, Kafka pipelines, BigQuery queries, and ETL workflows.
- Implement monitoring and observability mechanisms to identify and troubleshoot pipeline failures, performance issues, and data-quality problems.
- Create and maintain runbooks and operational documentation for production support and continuous optimization.
- Troubleshoot runtime data issues independently and ensure timely resolution of production incidents.
- Follow best practices for data governance, security, access control, and information security.
Qualifications
- 6+ years of experience as a Data Engineer.
- Strong hands-on experience with Scala and Apache Spark.
- Solid knowledge of Kafka and streaming data processing.
- Hands-on experience with Google Cloud Platform (GCP).
- Strong experience with BigQuery and Dataproc.
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Job application FAQ
Last updated 3 October 2026
- How do I apply for Data Engineer Scala | Kafka | Spark | GCP (Bengaluru) at Zorba Consulting India?
- 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. Zorba Consulting India may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Data Engineer Scala | Kafka | Spark | GCP (Bengaluru) 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 Scala | Kafka | Spark | GCP (Bengaluru) remote or on-site in Bengaluru, Karnataka?
- This listing is marked on_site with location Bengaluru, Karnataka. Confirm details on the job description before applying.
- What skills matter for this Data Engineer Scala | Kafka | Spark | GCP (Bengaluru) role at Zorba Consulting India?
- This is a mid-level Data Engineer Scala | Kafka | Spark | GCP (Bengaluru) role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.