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Detect and prevent illegal use of cryptocurrencies

Big Data Architect

₹30L – ₹50L
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Job Overview

We are looking for a tech-savvy Big Data Architect to join our growing team of analytics experts. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross-functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Architect will support our data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.

Responsibilities

● Create and maintain optimal data pipeline architecture,
● Assemble large, complex 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.
● Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources and sinks (messaging queues, files, APIs, RDBMS, Graph databases) using Google Cloud Platform’s ‘big data’ technologies.
● Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
● Keep our data isolated and secure across multiple availability zones.
● Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.

Preferred Experience

● >5+ years of relevant work experience as a Big Data Engineer/ Big Data Architect
● Experience in designing data pipelines and ETL jobs (Java, Scala or Python)
Big Data systems and databases - Redshift / Bigquery, Spark, Hadoop, Messaging queues, Relational SQL and NoSQL databases including Postgres, MongoDB, Cassandra and Elasticsearch
● Data and Model pipeline and workflow management tools: Airflow, Azkaban, Luigi
● Experience with Docker containers, orchestration systems (e.g. Kubernetes), continuous integration and job schedulers.
● Basic knowledge of Python data scientist stack (pyData)
● Experience with Neo4j or Terraform or Google Cloud platform is a big plus
● Superior analytical, conceptual and problem-solving skills.
● Strong verbal and written communication skills in English.

If you want to work in a collaborative environment where opportunities are offered, skills are stretched and excellence is rewarded, you might be exactly what we’re looking for.

Reach out to us at careers@merklescience.com

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