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65 Spark Jobs in Kolkata

Data Engineer-Data Platforms-Azure

IBM India Pvt. Limited

4.0

based on 22.1k Reviews

3-6 years

₹ 13 - 13.6L/yr (AmbitionBox estimate)

Kolkata

Data Engineer-Data Platforms-Azure

IBM

posted 19d ago

Job Role Insights

Key skills for the job

Python SQL Machine Learning Java Clinical Data Management Linux Administration

+ 17 more

Job Description

Responsibilities

As an Associate Software Developer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing.

Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets.

In this role, your responsibilities may include:

Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques

Designing and implementing various enterprise seach applications such as Elasticsearch and Splunk for client requirements

Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors.

Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modeling results

Required education
Bachelor's Degree

Preferred education
Master's Degree

Required technical and professional expertise

Total Exp-6-7 Yrs (Relevant-4-5 Yrs)

Mandatory Skills:Azure Databricks, Python/PySpark, SQL, Github, - Azure Devops - Azure Blob

Ability to use programming languages like Java, Python, Scala, etc., to build pipelines to extract and transform data from a repository to a data consumer

Ability to use Extract, Transform, and Load (ETL) tools and/or data integration, or federation tools to prepare and transform data as needed.

Ability to use leading edge tools such as Linux, SQL, Python, Spark, Hadoop and Java

Preferred technical and professional experience

You thrive on teamwork and have excellent verbal and written communication skills.

Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions

Ability to communicate results to technical and non-technical audiences

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.