Data Engineer

Artex Risk Solutions; Ernakulam; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Artex Risk Solutions is seeking a data engineering professional to develop, maintain, and test data infrastructure across multiple centers. You will design data pipelines, assemble large datasets, and partner with executives and product teams to meet business needs.

The role emphasizes automation, scalable architectures, and strong SQL/Python capability, with opportunities to impact analytics tooling and data-driven decision making.

Qualifications

• University Degree and minimum 3 years of prior relevant experience, or equivalent experience.
• INTERMEDIATE: Applies practical knowledge of sub-function area typically obtained through advanced education and work experience. May require working independently with general supervision and addressing IT problems that are not highly complex.

Responsibilities

• Developes, maintains, and tests infrastructures for data generation.
• Creates and maintains optimal data pipeline architecture and assembles data to meet business needs.
• Assembles large, complex datasets to meet requirements.
• Identifies and implements internal process improvements; automates manual processes and optimizes data delivery.
• Builds infrastructure for ETL using SQL and big data technologies.
• Collaborates with stakeholders to support data infrastructure needs.
• Maintains data security across national boundaries through multiple data centers and AWS regions.
• Creates analytics tools for data science teams to build competitive products.
• Oversees data generation infrastructure and analytics tooling.

Skills

Independent working

Problem solving

Education

University Degree

3+ years experience

Tools

SQL

Python

Azure Data Factory

Spark

Data Lakes

Job description

Responsibilities

• Developes, maintains, and tests infrastructures for data generation.
• Creates and maintains optimal data pipeline archictecture and assembles data to meet business needs.
• Assembles large, complex datasets that meet functional / nonfunctional business requirements.
• Identifies, designs, and implements internal process improvements; automates manual processesprocesses, optimizing data delivery and redesigning infrastructure for greater scalability.
• Builds infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and big data technologies.
• Works with stakeholders including the Executive, Product, Data, and Design teams to assist with datarelated technical issues and support data infrastructure needs.
• Keeps data separated and secure across national boundaries through multiples data centers and AWS regions.
• Creates data tools for analytics and data scientist team members that that assist with building and optimizing products into innovative, industry leaders.
• Oversees data generation infrastructure.
• Builds analytics tools to provide actionable insights and assist data science and analytics team members with building bestinclass products.
• Work with stakeholders to assist with datarelated tech issues and support data infrastructure needs.

Qualifications

• INTERMEDIATE: Applies practical knowledge of sub-function area typically obtained through advanced education and work experience. May require the following proficiencies: Working independently with general supervision. Facing IT function related problems that are difficult but typically not complex. Potentially influencing others within the function through explanation of facts, policies and practices.
• University Degree and minimum 3 years of prior relevant experience, or equivalent experience.

Skills

• SQL
• Python
• Azure data factory
• Data; Bricks
• Spark (experience would be a plus)
• Data transformation
• Cloud Data Experience
• Distributed data warehouse knowledge
• Data Lakes