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Data Engineer
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Data Engineer

Harwinder Singh's profile picture
Posted by Harwinder Singh
9 - 12 yrs
₹25L - ₹30L / yr
Remote only
Skills
Big Data
PySpark
Apache Hadoop
Spark
skill iconPython
Design patterns
Data Structures
Algorithms

Only a solid grounding in computer engineering, Unix, data structures and algorithms would enable you to meet this challenge.

7+ years of experience architecting, developing, releasing, and maintaining large-scale big data platforms on AWS or GCP

Understanding of how Big Data tech and NoSQL stores like MongoDB, HBase/HDFS, ElasticSearch synergize to power applications in analytics, AI and knowledge graphs

Understandingof how data processing models, data location patterns, disk IO, network IO, shuffling affect large scale text processing - feature extraction, searching etc

Expertise with a variety of data processing systems, including streaming, event, and batch (Spark,  Hadoop/MapReduce)

5+ years proficiency in configuring and deploying applications on Linux-based systems

5+ years of experience Spark - especially Pyspark for transforming large non-structured text data, creating highly optimized pipelines

Experience with RDBMS, ETL techniques and frameworks (Sqoop, Flume) and big data querying tools (Pig, Hive)

Stickler of world class best practices, uncompromising on the quality of engineering, understand standards and reference architectures and deep in Unix philosophy with appreciation of big data design patterns, orthogonal code design and functional computation models
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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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About DemandMatrix

Founded :
2015
Type :
Services
Size
Stage :
Profitable

About

DemandMatrix is an AI-powered Technographics and Intent Data provider that helps B2B marketing and sales teams identify and target the right accounts based on their propensity to buy-into a particular technology.
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Sudarshana Mukherjee
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