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Data Engineer: Data Platforms-AWS
2-6 years
₹ 3.6 - 17L/yr (AmbitionBox estimate)
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.
Chennai
Data Engineer: Data Platforms-AWS
IBM
posted 30min ago
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Flexible timing
Key skills for the job
Job Description
Your Role and Responsibilities
As a Big Data Engineer, you will develop, maintain, evaluate, and test big data solutions. You will be involved in data engineering activities like creating pipelines/workflows for Source to Target and implementing solutions that tackle the clients needs.
Your primary responsibilities include:
Required Technical and Professional Expertise
Preferred Technical and Professional Expertise
As a Big Data Engineer, you will develop, maintain, evaluate, and test big data solutions. You will be involved in data engineering activities like creating pipelines/workflows for Source to Target and implementing solutions that tackle the clients needs.
Your primary responsibilities include:
- Design, build, optimize and support new and existing data models and ETL processes based on our clients business requirements.
- Build, deploy and manage data infrastructure that can adequately handle the needs of a rapidly growing data driven organization.
- Coordinate data access and security to enable data scientists and analysts to easily access to data whenever they need too.
Required Technical and Professional Expertise
- Developed the Pysprk code for AWS Glue jobs and for EMR.. Worked on scalable distributed data system using Hadoop ecosystem in AWS EMR, MapR distribution..
- Developed Python and pyspark programs for data analysis.. Good working experience with python to develop Custom Framework for generating of rules (just like rules engine).
- Developed Hadoop streaming Jobs using python for integrating python API supported applications..
- Developed Python code to gather the data from HBase and designs the solution to implement using Pyspark. Apache Spark DataFrames/RDD's were used to apply business transformations and utilized Hive Context objects to perform read/write operations..
- Re - write some Hive queries to Spark SQL to reduce the overall batch time
Preferred Technical and Professional Expertise
- Understanding of Devops.
- Experience in building scalable end-to-end data ingestion and processing solutions
- Experience with object-oriented and/or functional programming languages, such as Python, Java and Scala
Employment Type: Full Time, Permanent
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What people at IBM are saying
Rating based on 191 Data Engineer
reviews
Anonymous · Data Science & Machine Learning
in Bengaluru
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Read 191 reviewsData Engineer salary at IBM
reported by
2.7k
employees
with 1-11
years exp.
₹5.1
L/yr - ₹23.5
L/yr
37%
more
than the average Data Engineer Salary in India
View more details
What IBM employees are saying about work life
based on 21.1k employees
Flexible timing
Monday to Friday
No travel
Day Shift
IBM Benefits
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