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Data Engineer
Networking & Cybersecurity Solutions
Networking & Cybersecurity Solutions's logo

Data Engineer

at Networking & Cybersecurity Solutions

Agency job
4 - 16 yrs
₹40L - ₹60L / yr
Bengaluru (Bangalore)
Skills
Spark
Apache Kafka
Data Engineer
Hadoop
Big Data
TensorFlow
Flink
"Numpy"
  • Developing telemetry software to connect Junos devices to the cloud
  • Fast prototyping and laying the SW foundation for product solutions
  • Moving prototype solutions to a production cloud multitenant SaaS solution
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
  • Build analytics tools that utilize the data pipeline to provide significant insights into customer acquisition, operational efficiency and other key business performance metrics.
  • Work with partners including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
  • Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
  • Work with data and analytics specialists to strive for greater functionality in our data systems.

Qualification and Desired Experiences

  • Master in Computer Science, Electrical Engineering, Statistics, Applied Math or equivalent fields with strong mathematical background
  • 5+ years experiences building data pipelines for data science-driven solutions
  • Strong hands-on coding skills (preferably in Python) processing large-scale data set and developing machine learning model
  • Familiar with one or more machine learning or statistical modeling tools such as Numpy, ScikitLearn, MLlib, Tensorflow
  • Good team worker with excellent interpersonal skills written, verbal and presentation
  • Create and maintain optimal data pipeline architecture,
  • Assemble large, sophisticated data sets that meet functional / non-functional business requirements.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Experience with AWS, S3, Flink, Spark, Kafka, Elastic Search
  • Previous work in a start-up environment
  • 3+ years experiences building data pipelines for data science-driven solutions
  • Master in Computer Science, Electrical Engineering, Statistics, Applied Math or equivalent fields with strong mathematical background
  • We are looking for a candidate with 9+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
  • Experience with big data tools: Hadoop, Spark, Kafka, etc.
  • Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
  • Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
  • Experience with AWS cloud services: EC2, EMR, RDS, Redshift
  • Experience with stream-processing systems: Storm, Spark-Streaming, etc.
  • Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
  • Strong hands-on coding skills (preferably in Python) processing large-scale data set and developing machine learning model
  • Familiar with one or more machine learning or statistical modeling tools such as Numpy, ScikitLearn, MLlib, Tensorflow
  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
  • Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and find opportunities for improvement.
  • Strong analytic skills related to working with unstructured datasets.
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management.
  • A successful history of manipulating, processing and extracting value from large disconnected datasets.
  • Proven understanding of message queuing, stream processing, and highly scalable ‘big data’ data stores.
  • Strong project management and interpersonal skills.
  • Experience supporting and working with multi-functional teams in a multidimensional environment.
Read more
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Shubham Vishwakarma's profile image

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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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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