Data and Security Specialist
2 weeks ago
Overview:
Andromeda Security is an early stage, top-tier Silicon Valley VC-funded multinational startup building a team in Bengaluru, India. You will have the opportunity to grow with the company and help secure enterprises from cloud security breaches.
Job Responsibilities:
We're looking for dreamers, coders, and hackers who want to explore the frontiers of cloud security. We're also calling software engineers who are 'thinkers', 'builders', and 'doers', self-driven, and eager to learn new cloud technologies.
You will have opportunities to learn how to create a data analytics platform from scratch and scale it for millions of cloud users.
• Learn how to take real-life problems related to finding anomalies and work on clustering problems using both supervised and unsupervised models.
• Design and develop Machine Learning Systems, models, and recommendation systems.
• Develop data pipelines to ingest, perform ETL transformations, and store them in a data lake.
• Build the infrastructure required for optimal data extraction, transformation, and loading from a wide variety of data sources using SQL and AWS 'big data' technologies.
• Create data transformation to drive dashboards, data engines, and prediction applications.
• Address data preparation and quality issues. Develop code to handle data irregularities and inconsistencies.
• Learn and adhere to security best practices around data and enforce proper data governance.
• Develop solutions to integrate with 3rd party systems for data ingestion and transformation.
• Develop optimal query solutions across structured and unstructured data sources.
• Create data tools for analytics and data scientist team members that assist them in optimizing our product.
Tech Stack:
Programming languages - Golang, Python
API/Platform - GraphQL, GRPC, and Open API
LLM and transformers in Tech-stack
Analytics - numpy, pytorch, Tensorflow, and BigQuery
Query languages, SQL, OpenCypher
Analytics platform - ElasticSearch, Graph DBs (AWS Neptune, Neo4j).
Event processing - Kafka
Requirements:
• 3+ yrs of industry experience in software development.
• 3+ yrs of experience in operationalizing ML models and data labeling.
• Experience with TensorFlow, Scikit-Learn, Keras, PyTorch, and Neural Networks
• Proficiency with SQL and noSQL databases
• Bachelor's or Master's degree in engineering or a related technical field.
• Expert knowledge of one of the common programming languages such as C++, Java, Golang, or Python
Preferred Qualifications:
• Experience with hacking or contributions to open source.
• Experience implementing core data structures such as b-trees, graph walks, etc.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
• Understanding of cloud computing architectures in AWS, Azure, or GCP
• Knowledge of SQL, database, operating systems, distributed systems
• Experience with any of the data analytics platforms:
• Experience with Graph Databases like DuckDB, AWS Neptune.
• Understanding of Gremlin or openCypher.
• 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
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