Website Novelship


Novelship is seeking a Data Engineer to be based in India or Remote in South East Asia to join our Tech Team.

Brief Description of the Role:

As a Data Engineer, you will be responsible for Building & Maintaining our Analytics Infrastructure, Data Taxononmy, Data Ingestion and aggregation to provide Business Intelligence to different teams and support Data Dependent tools like ERP and CRM.

In this role you will:
Analyze and design ETL solutions to store/fetch data from multiple systems like Postgres, Airtable, Google Analytics and Mixpanel.
Drive the implementation of new data management projects such as Finance ERP and re-structure of the current data architecture.
Participate in the building of a single source of Data Systems and Data Taxonomy projects.
Engage in problem definition and resolution and collaborate with a diverse group of engineers and business owners from across the company.
Work with stakeholders including the Strategy, Product and Marketing teams to assist with data-related technical issues, support their data analytics needs and work on data collection and aggregation solutions.
Act as a technical resource for the Data team and be involved in creating and implementing current and future Analytics projects like data lake design and data warehouse design.
Ensure quality and consistency of the data in the Data warehouse and follow best data governance practices.
Analyze large amounts of information to discover trends and patterns to provide Business Intelligence.
Mine and analyse data from databases to drive optimization and improvement of product development, marketing techniques and business strategies.
Design and build reusable components, frameworks and libraries at scale to support analytics data products
Build and maintain optimal data pipeline architecture and data systems. Assemble large, complex data sets that meet functional / non-functional business requirements.
Identify, design, and implement internal process improvements: automating manual processes, optimising data delivery, re-designing infrastructure for greater scalability, etc.
Streamline existing and introduce enhanced reporting and analysis solutions that leverage complex data sources derived from multiple internal systems

Bachelors or Master’s education in Computer Science
2 to 4 years of professional experience as a Data Engineer.
Proficiency in either Python, Scala or R.
Proficiency in SQL, Relational & Non-Relational Databases.
Excellent analytical and problem-solving skills.
Experience with Business Intelligence tools like Data Studio, Power BI and Tableau.
Experience in Data Cleaning, Creating Data Pipelines, Data Modelling, Storytelling and Dashboarding.

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