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Data Engineer-Data Platforms-Azure

4-9 years

Kochi

Data Engineer-Data Platforms-Azure

IBM

posted 4hr ago

Job Role Insights

Flexible timing

Job Description

As Data Engineer, you will develop, maintain, evaluate and test big data solutions. You will be involved in the development of data solutions using Spark Framework with Python or Scala on Hadoop and Azure Cloud Data Platform

Experienced in building data pipelines to Ingest, process, and transform data from files, streams and databases. Process the data with Spark, Python, PySpark and Hive, Hbase or other NoSQL databases on Azure Cloud Data Platform or HDFS

Experienced in develop efficient software code for multiple use cases leveraging Spark Framework / using Python or Scala and Big Data technologies for various use cases built on the platform

  • Experience in developing streaming pipelines
  • Experience to work with Hadoop / Azure eco system components to implement scalable solutions to meet the ever-increasing data volumes, using big data/cloud technologies Apache Spark, Kafka, any Cloud computing etc
Required education
Bachelor's Degree
Preferred education
Master's Degree
Required technical and professional expertise
  • Total 6 - 7+ years of experience in Data Management (DW, DL, Data Platform, Lakehouse) and Data Engineering skills
  • Minimum 4+ years of experience in Big Data technologies with extensive data engineering experience in Spark / Python or Scala;
  • Minimum 3 years of experience on Cloud Data Platforms on Azure;
  • Experience in Data Bricks / Azure HDInsight / Azure Data Factory, Synapse, SQL Server DB
  • Good to excellent SQL skills
Preferred technical and professional experience
  • Certification in Azure and Data Bricks or Cloudera Spark Certified developers
  • Experience in DataBricks / Azure HDInsight / Azure Data Factory, Synapse, SQL Server DB
  • Knowledge or experience of Snowflake will be an added advantage

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
₹3.2 L/yr - ₹24.3 L/yr
28% 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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