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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