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Data Engineer: Data Platforms-AWS
2-6 years
₹ 6.5986 - 27L/yr (AmbitionBox estimate)
Pune
1 vacancy
Data Engineer: Data Platforms-AWS
IBM
posted 17d ago
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Flexible timing
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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:
- 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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Rating based on 197 Data Engineer
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Anonymous · Engineering - Software & QA
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
1. All the mentioned benefits are depending on project basis, its not a universal.
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