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Engaged Employer

IBM

Compare

4.0

based on 22.1k Reviews

Video summary

Proud winner of ABECA 2024 - AmbitionBox Employee Choice Awards

Top Rated Mega Company - 2024

Top Rated Company for Women - 2024

Top Rated IT/ITES Company - 2024

1782 IBM Jobs

Data Engineer-Data Platforms

IBM India Pvt. Limited

4.0

based on 22.1k Reviews

2-5 years

₹ 3.65 - 25L/yr (AmbitionBox estimate)

Pune

Data Engineer-Data Platforms

IBM

posted 12d ago

Job Role Insights

Flexible timing

Key skills for the job

Data Analysis DevOps Data Engineering Python SQL Machine Learning

+ 15 more

Job Description

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 education
Bachelor's Degree

Preferred education
Master's Degree

Required technical and professional expertise

Strong proficiency in Python:Expertise in Python programming with a focus on data processing and manipulation.

Experience with Apache Spark (PySpark):In-depth knowledge of Sparks architecture, core APIs, and PySpark for distributed data processing.

Big Data Technologies:Familiarity with Hadoop, HDFS, Kafka, and other big data tools. Data Engineering Skills:Strong understanding of ETL pipelines, data modeling, and data warehousing concepts.

SQL Proficiency:Experience writing optimized SQL queries for large-scale data analysis and transformation.

Data Processing Frameworks:Knowledge of data processing libraries such as Pandas, NumPy, and Dask

Preferred technical and professional experience

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

Read full job description

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What people at IBM are saying

4.2

Rating based on 207 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.