Business overview:

Galytix (GX) is delivering on the promise of AI.

GX has built specialised knowledge AI assistants for the banking and insurance industry. Our assistants are fed by sector-specific data and knowledge and easily adaptable through ontology layers to reflect institution-specific rules.

GX ai assistants are designed for Individual Investors, Credit and Claims professionals. Our assistants are being used right now in global financial institutions. Proven, trusted, non-hallucinating, our assistants are empowering financial professionals and delivering 10x improvements by supporting them in their day-to-day tasks.

Role overview:

As a Sr. Data Engineer, you’ll drive the design, development, and optimization of our data engineering pipelines and services with a strong software engineering mindset.

You'll also play a pivotal role in fostering growth and collaboration within the team, mentoring junior colleagues, and refining processes to help us maintain excellence.

If you’re excited to make a lasting impact both technically and as a team leader, we’d love to meet you.

Desired skills:

• A university degree from a reputed University with a record of academic excellence in Mathematics, Computer Science, Engineering, Physics or similar.
• 8+ years of relevant experience in Data Engineering, warehousing, ETL, automation, big data and cloud technologies, etc.
• Ability to write clean, scalable, maintainable code in Python. Has good understanding of software engineering concepts and patterns. Proficiency in other languages like Scala, Java, C#, C++ are an advantage.
• Proven record of building and maintaining data pipelines deployed in at least one of the big 3 cloud ML stacks (AWS, Azure, GCP).
• Hands on experience with
  1. Open-source ETL, and data pipeline and orchestration such tools as Apache Airflow and Nifi.
  2. Large Scale/ Big Data technology, such as Hadoop, Spark, Hive, Impala, PrestoDb, Kafka.
  3. Workflow orchestration tools like Apache Airflow.
  4. Containerisation with Docker, deployment on Kubernetes.
  5. NoSql and graph databases.
  6. Unix server administration and shell scripting.
• Experience in building scalable data pipelines for highly unstructured data.
• Experience in building DWH and data lakes architectures.
• Experience in working in cross-functional team with software engineers, data scientists and machine learning engineers.
• Experience in working with or leading an off-shore team.
• Proven record of building data science environments deploying ML solutions in at least one of the big 3 cloud ML stacks (Azure/AWS/GCP) and on Kubernetes clusters.
• Excellent written and verbal command of English.
• Strong problem-solving, analytical, and quantitative skills.
• A professional attitude and service orientation with the ability to work with our international teams.

Why you don’t want to miss this career opportunity:

• We are a mission-driven firm that is revolutionising the Insurance and Banking industry. We are not aiming to incrementally push the current boundaries, we redefine them.
• Customer centric organisation with innovation at the core of everything we do.
• Capitalise on an unparalleled career progression opportunity.
• Work closely with senior leaders who have individually served several CEOs in Fortune 100 companies globally.
• Develop highly valued skills and build connections in the industry by working with top-tier Insurance and Banking clients on their mission-critical problems and deploying solutions integrated into their day-to-day workflows and processes.
• At Galytix, we're experiencing rapid growth—especially in India, where we are building the largest team and are rapidly expanding our footprint. We're at a turning point, where we're transitioning to becoming a global leader in AI. This is your chance to join a fast-paced, high-impact company at the heart of its growth, where you'll have a chance to directly shape its future.