Team Lead Data Engineer

6 days ago

Gurugram, India Galytix Full time
Job description


Business Overview:


Galytix is a London-based software firm delivering a Data Operating System for Financial Institutions globally. By connecting the right data, with the right knowledge, at the right time, to the right people, our GX Platform empowers influential decision-makers with a competitive edge. The Platform ingests a large number of data sources, structuring and credentialling unstructured data, and runs advanced analytics and machine learning models to derive decision insights – in a World’s First Fully Integrated Solution


Detailed role description:


Lead Data engineer helps to architect, design, implement, and optimize our data ingestion, transformation pipelines and processes. He or she develops data models, processing pipelines, and back-end services supporting the data science teams, automates processes, builds integrations, and builds analytics.


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 a 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


  • Open-source ETL, and data pipeline and orchestration of such tools as Apache Airflow and Nifi.
  • Large Scale/ Big Data technology, such as Hadoop, Spark, Hive, Impala, PrestoDb, Kafka.
  • Fast and distributed data processing in Ray, Dask, DuckDb, Polars, cuDF
  • Building performant code in C, C++ and interfaces with python in PyO3.rs, Cython
  • Workflow orchestration tools like Apache Airflow.
  • Containerization with Docker, deployment on Kubernetes.
  • NoSql and graph databases
  • 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 offshore 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 revolutionizing the Insurance and Banking industry by making them think about data differently. We don’t simply push boundaries. We completely rethink them.
  • With innovation at the core of all we do, every Data & Analytics challenge starts with the same question. How can we do it better? This restless spirit runs through the entire firm culture. And the search for perfection is evident in everything we do.
  • You will work closely with senior leaders who have individually served a number of CEOs in Fortune 100 companies globally ·
  • You can develop yourself, build skills and 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


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