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159 Confluence Jobs in Pune

Data Engineer-Data Platforms-AWS

IBM India Pvt. Limited

4.0

based on 22.2k Reviews

2-6 years

₹ 6.599 - 17L/yr (AmbitionBox estimate)

Pune

Data Engineer-Data Platforms-AWS

IBM

posted 1d ago

Job Role Insights

Key skills for the job

Digital Marketing DevOps Python AWS SQL Java

+ 17 more

Job Description

Design, implement, and manage large-scale data processing systems using Big Data Technologies such as Hadoop, Apache Spark, and Hive.
Develop and manage our database infrastructure based on Relational Database Management Systems (RDBMS), with strong expertise in SQL.
Utilize scheduling tools like Airflow, Control M, or shell scripting to automate data pipelines and workflows.
Write efficient code in Python and/or Scala for data manipulation and processing tasks.
Leverage AWS services including S3, Redshift, and EMR to create scalable, cost-effective data storage and processing solutions

Required education

Bachelor's Degree

Required technical and professional expertise

Proficiency in Big Data Technologies, including Hadoop, Apache Spark, and Hive.
Strong understanding of AWS services, particularly S3, Redshift, and EMR.
Deep expertise in RDBMS and SQL, with a proven track record in database management and query optimization.
Experience using scheduling tools such as Airflow, Control M, or shell scripting.
Practical experience in Python and/or Scala programming languages

Preferred technical and professional experience

Knowledge of Core Java (1.8 preferred) is highly desired Excellent communication skills and a willing attitude towards learning.
Solid experience in Linux and shell scripting. Experience with PySpark or Spark is nice to have Familiarity with DevOps tools including Bamboo, JIRA, Git, Confluence, and Bitbucket is nice to have
Experience in data modelling, data quality assurance, and load assurance is a nice-to-have

Employment Type: Full Time, Permanent

Read full job description

IBM Interview Questions & Tips

Prepare for IBM Data Engineer roles with real interview advice

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.