Create a free account
One signup unlocks everything for this job:
- See your personalized profile match score
- See the skills this role is missing for you
- Apply to this job and track your application
- Generate an AI cover letter for this role
Gurugram · Hybrid · 1-3 Yrs · Oct 7
Information Technology Support Services · 10000+ Employees · Armonk, US
From day one, IBMers have the trust to create incredible things that alter the future for us, for each other, for our clients — and for the world. Around the globe, we’re constantly evolving who we are, adapting with purpose, and building an environment where everyone thrives, both individually and collectively. In partnership with our clients, we lead the way in groundbreaking technologies to make a difference in local communities – IBMers innovate with curiosity, openness, and a shared commitment to redefine industries and build what’s next.
Hiring: Engineering
What employees say
+ All the benifits are good
− nothing to tell any cons
More reviews on the company profile.
Interview experience · Software Engineer
My interview was online , they mostly focused on projects.. also on Computer Fundamentals like OS, DSA..They took fundamentals very seriously . But they wants or i can say expects basic knowledge of the mentioned things.
Average difficulty · Pune · 5,917 reports
More interview insightsJob description
Overview
Introduction A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide.
Responsibilities
- Design and Develop Data Pipelines: Design, build, and operate batch and real-time data pipelines using AWS services such as AWS EMR, AWS Glue, Glue Catalog, and Kinesis, ensuring seamless integration and operation of data engineering solutions.
- Create Data Layers: Create data layers on AWS RedShift, Aurora, and DynamoDB, and migrate data using AWS DMS, demonstrating expertise in various AWS Data Platform components.
- Manage Data Services: Schedule and manage data services on the AWS Platform, ensuring efficient operation of data engineering solutions.
- Develop Batch and Real-time Pipelines: Develop batch and real-time data pipelines for Data Warehouse and Datalake, utilizing AWS Kinesis and Managed Streaming for Apache Kafka.
- Ensure Seamless Integration: Ensure seamless integration and operation of data engineering solutions, leveraging expertise in open source technologies like Apache Airflow and dbt, Spark / Python or Spark / Scala on AWS Platform.
- Designing Data Engineering Solutions: Experience with designing, building, and operating batch and real-time data pipelines using AWS services such as AWS EMR, AWS Glue, Glue Catalog, and Kinesis.
- Developing Data Layers: Experience in creating data layers on AWS RedShift, Aurora, and DynamoDB, and migrating data using AWS DMS, with proficiency in various AWS Data Platform components.
- Managing Data Services: Experience in scheduling and managing data services on the AWS Platform, ensuring efficient operation of data engineering solutions.
- Developing Batch and Real-time Pipelines: Experience with developing batch and real-time data pipelines for Data Warehouse and Datalake, utilizing AWS Kinesis and Managed Streaming for Apache Kafka.
- Integrating Open Source Technologies: Experience in leveraging open source technologies like Apache Airflow and dbt, Spark / Python or Spark / Scala on AWS Platform to ensure seamless integration and operation of data engineering solutions.
- Proficiency in Open Source: Experience with leveraging open source technologies like Apache Airflow and dbt, Spark / Python or Spark / Scala on AWS Platform to ensure seamless integration and operation of data engineering solutions.
- Expertise in AWS Services: Experience with various AWS Data Platform components, including S3, RedShift, RedShift Spectrum, AWS Glue with Spark, AWS Glue with Python, Lambda functions with Python, AWS Glue Catalog, and AWS Glue Databrew.
- Knowledge of Data Migration: Experience with migrating data using AWS DMS and creating data layers on AWS RedShift, Aurora, and DynamoDB.
Verify Software Engineer for this role
Free PRACTICE for Software Engineer adds a verified skill signal that can boost how roles like this rank for you — optional, not required to browse or apply.
Sign up — verify Software Engineer free →Want match scores and deeper insight? Create a free candidate profile
Job application FAQ
Last updated 10 October 2026
- How do I apply for Data Engineer-Data Platforms-AWS at IBM?
- 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. IBM may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Data Engineer-Data Platforms-AWS 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-Data Platforms-AWS remote or on-site in Gurugram, Haryana?
- This listing is marked hybrid with location Gurugram, Haryana. Confirm details on the job description before applying.
- What skills matter for this Data Engineer-Data Platforms-AWS role at IBM?
- This is a mid-level Data Engineer-Data Platforms-AWS role. Key skills include Hybrid. Feedback AI highlights matched vs missing skills on your profile after signup.