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4.0

based on 22.1k Reviews

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Proud winner of ABECA 2024 - AmbitionBox Employee Choice Awards

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1892 IBM Jobs

Data Engineer-Data Platforms-AWS

IBM India Pvt. Limited

4.0

based on 22.1k Reviews

2-6 years

₹ 4.5 - 28L/yr (AmbitionBox estimate)

Bangalore / Bengaluru

Data Engineer-Data Platforms-AWS

IBM

posted 3d ago

Job Role Insights

Flexible timing

Key skills for the job

DevOps AWS SQL Clinical Data Management Linux Administration ETL Testing

+ 17 more

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

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What people at IBM are saying

4.2

Rating based on 208 Data Engineer reviews

Anonymous · Engineering - Software & QA

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.