Roles and Responsibilities

Data Engineer

Summary:

You have experience with client projects and in handling vast amounts of data – working on database design and development, data integration and ingestion, designing ETL architectures using a variety of ETL tools and techniques. You are someone with a drive to implement the best possible solutions for clients and work closely with a highly skilled Data Science team. Lead on projects from a data engineering perspective, working with our clients to model their data landscape, obtain data extracts and define secure data exchange approaches

Plan and execute secure, good practice data integration strategies and approaches

Acquire, ingest, and process data from multiple sources and systems into Big Data platforms

Create and manage data environments in the Cloud

Collaborate with our data scientists to map data fields to hypotheses and curate, wrangle, and prepare data for use in their advanced analytical models

Have a strong understanding of Information Security principles to ensure compliant handling and management of client data

This is a fantastic opportunity to be involved in end-to-end data management for cutting edge Advanced Analytics and Data Science

Qualifications:

Commercial experience leading on client-facing projects, including working in close-knit teams

7+ years of experience and interest in Big Data technologies (Hadoop / Spark / NoSQL DBs)

7+ years of experience working on projects within the cloud ideally AWS or Azure

7+ years of experience working with streaming architectures and patterns like Kafka, Kinesis, Flink, or Confluent

Experience with open source tools like Apache Airflow and Griffin

Experience with DevOps and DataOps patterns and tools like Jenkins, Kubernetes, Docker, and Terraform

Data Warehousing experience with cloud products like Snowflake, Azure DW, or Redshift

Experience building operational ETL data pipelines across a number of sources, and constructing relational and dimensional data models

Experience with one or more ETL/ELT tools like Talend, Matillion, FiveTran, or Alooma

Experience building automated data quality and testing into data pipelines

Experience with AI, NLP, Machine Learning, etc. is a plus

Strong development background with experience in at least two scripting, object oriented or functional programming language, etc. SQL, Python, Java, Scala, C#, R

Experience working on lively projects and a consulting setting, often working on different and multiple projects at the same time

Excellent interpersonal skills when interacting with clients in a clear, timely, and professional manner.

A deep personal motivation to always produce outstanding work for your clients and colleagues

Excel in team collaboration and working with others from diverse skill-sets and backgrounds

You can be a key part of this growing team of smart and passionate people who strive continuously to build a great place to work with, and work for. We have been named to the Inc. 5000 fastest growing companies in America for three years in a row, and have no plans on slowing down.

Cervello is a dynamic technology company that is focused on business analytics and planning. We take an innovative approach to making complex solutions simple so our clients can focus on running their businesses. Our services and applications enable our clients to gain the benefits of a world-class analytics and planning capability without the headaches.

Send your profiles to careers@mycervello.co.in