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1768 IBM Jobs

Data Engineer-Data Platforms-AWS

2-6 years

₹ 4.5 - 28L/yr (AmbitionBox estimate)

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This is an estimate of the average salary range for this position. It has not been reviewed by the company, and the actual salary may differ.

Bangalore / Bengaluru

Data Engineer-Data Platforms-AWS

IBM

posted 1hr ago

Job Role Insights

Flexible timing

Job Description

  • Design, construct, install, test, and maintain highly scalable data management systems using big data technologies such as Apache Spark (with focus on Spark SQL) and Hive. Manage and optimize our data warehousing solutions, with a strong emphasis on SQL performance tuning. Implement ETL/ELT processes using tools like Talend or custom scripts, ensuring efficient data flow and transformation across our systems.
  • Utilize AWS services including S3, EC2, and EMR to build and manage scalable, secure, and reliable cloud-based solutions.
  • Develop and deploy scripts in Linux environments, demonstrating proficiency in shell scripting. Utilize scheduling tools such as Airflow or Control-M to automate data processes and workflows.
  • Implement and maintain metadata-driven frameworks, promoting reusability, efficiency, and data governance. Collaborate closely with DevOps teams utilizing SDLC tools such as Bamboo, JIRA, Bitbucket, and Confluence to ensure seamless integration of data systems into the software development lifecycle.
  • Communicate effectively with both technical and non-technical stakeholders, for handover, incident management reporting, etc
Required education
Bachelor's Degree
Preferred education
Master's Degree
Required technical and professional expertise
  • Demonstrated expertise in Big Data Technologies, specifically Apache Spark (focus on Spark SQL) and Hive.
  • Extensive experience with AWS services, including S3, EC2, and EMR.
  • Strong expertise in Data Warehousing and SQL, with experience in performance optimization
  • Experience with ETL/ELT implementation (such as Talend)
  • Proficiency in Linux, with a strong background in shell scripting
Preferred technical and professional experience
  • Familiarity with scheduling tools like Airflow or Control-M.
  • Experience with metadata-driven frameworks.
  • Knowledge of DevOps tools such as Bamboo, JIRA, Bitbucket, and Confluence. Excellent communication skills and a willing attitude towards learning

Employment Type: Full Time, Permanent

Read full job description

IBM Interview Questions & Tips

Prepare for IBM Data Engineer roles with real interview advice

Top IBM Data Engineer Interview Questions

Q1. 1) How to handle data skewness in spark.
Q2. 5) How to create a kafka topic with replication factor 2
Q3. 4) How to read json data using spark
View all 29 questions

What people at IBM are saying

4.2
 Rating based on 205 Data Engineer reviews

Likes

1. Work-Pertional life balance. 2. Your work recognition. 3. Appreciation of your work. 4. Job security. 5. Opportunity to learn and grow yourself in multiple technology and tools.

  • Salary - Good
  • +6 more
Dislikes

1. All the mentioned benefits are depending on project basis, its not a universal.

Read 205 Data Engineer reviews

Data Engineer salary at IBM

reported by 2.8k employees
₹5.8 L/yr - ₹24 L/yr
32% more than the average Data Engineer Salary in India
View more details

What IBM employees are saying about work life

based on 22k employees
78%
84%
66%
79%
Flexible timing
Monday to Friday
No travel
Day Shift
View more insights

IBM Benefits

Work From Home
Soft Skill Training
Health Insurance
Job Training
Cafeteria
Free Transport +6 more
View more benefits

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