Job Description

Job Title :Senior Data Engineer

Location- Remote  

Work Exp- 3+ yrs

Budget- 25-35 LPA 

Shift timings- 10am-7pm IST

Work days- 5 days

What You’ll Be Doing:   
Design and build parts of our data pipeline architecture for extraction, transformation, and loading of data from a wide variety of data sources using the latest Big Data technologies. 
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. 
Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs. 
Work with machine learning, data, and analytics experts to drive innovation, accuracy and greater functionality in our data system. 


Qualifications:  
Bachelor's degree in Engineering, Computer Science, or relevant field. 
3+ years of relevant and recent experience in a Data Engineer role. 
3+ years recent experience with Apache Spark and solid understanding of the fundamentals. 
Deep understanding of Big Data concepts and distributed systems. 
Strong coding skills with Scala, Python, Java and/or other languages and the ability to quickly switch between them with ease. 
Advanced working SQL knowledge . 
Cloud Experience with DataBricks 
Strong understanding of Delta Lake architecture and working with Parquet, JSON, CSV, and similar formats. 
Comfortable working in a linux shell environment and writing scripts as needed. 
Comfortable working in an Agile environment 
Machine Learning knowledge is a plus. 
Must be capable of working independently and delivering stable, efficient and reliable software. 
Excellent written and verbal communication skills in English. 
Experience supporting and working with cross-functional teams in a dynamic 
environment.


 

. Skillset Required: scala, Python, Databricks, Apache spark, etl tools, Kafka, Hadoop, Hive, shell scripting, azure

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