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3 Weeks ago

Data Engineer

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Kochi, Kerala, India
Information Technology
Full-Time
InvestCloud, Inc.

Overview

About The Team

You will be joining the newly formed AI, Data & Analytics team, primarily responsible as a Data Engineer leading various projects within the new Data Platform team. The new team is focused on driving increased value from the data InvestCloud captures to enable a smarter financial future for our clients, in particular focused on “enhanced intelligence”. Ensuring we have fit-for-purpose modern capabilities is a key goal for the team.

Key Responsibilities

  • Assist in the Design, development, and maintenance of scalable data pipelines to support diverse analytics and machine learning needs.
  • Manage data architectures for reliability, scalability, and performance.
  • Support data integration solutions from our data partners, including ETL/ELT processes, ensuring seamless data flow across platforms.
  • Collaborate with Data Scientists, Analysts, and Product Teams to define and support data requirements.
  • Manage and maintain data platforms such as Oracle, Snowflake, and/or Databricks, ensuring high availability and performance, whilst optimizing for cost.
  • Ensure data security and compliance with company policies and relevant regulations.
  • Monitor and troubleshoot data systems to identify and resolve performance issues.
  • Develop and maintain datasets and data pipelines to support Machine Learning model training and deployment
  • Analyze large datasets to identify patterns, trends, and insights that can inform business decisions.
  • Work with 3rd party providers of Data and Data Platform products to evaluate and implement solutions achieving Investcloud’s business objectives.

Required Skills

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
  • Minimum of 4 years of professional experience in data engineering or a related role.
  • Proficiency in database technologies, including Oracle and PostgreSQL.
  • Hands-on experience with Snowflake and/or Databricks, with a solid understanding of their ecosystems.
  • Experience with programming languages such as Python or SQL.
  • Familiarity with ETL/ELT tools and data integration frameworks.
  • Experience with cloud platforms such as AWS, GCP, or Azure.
  • Familiarity with containerization and CI/CD tools (e.g., Docker, Git).
  • Strong problem-solving skills and the ability to handle complex datasets.
  • Good communication skills to collaborate with global technical and non-technical stakeholders.
  • Knowledge of data preprocessing, feature engineering, and model evaluation metrics
  • Excellent proficiency in English
  • Ability to work in a fast-paced environment across multiple projects simultaneously
  • Ability to collaborate effectively as a team player, fostering a culture of open communication and mutual respect.

Preferred Skills

  • Knowledge of data warehousing and data lake architectures.
  • Familiarity with governance frameworks for data management and security.
  • Familiarity with Machine Learning frameworks (TensorFlow, PyTorch, Scikit-learn) and LLM frameworks (e.g. Langchain)
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