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Senior Data Engineer & Architect

Company:
AMINA Bank
Location:
Mumbai, Maharashtra, India
Posted:
May 11, 2024
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Description:

About AMINA

AMINA India is a wholly owned subsidiary of AMINA Bank AG, a licensed Swiss Bank focused on cryptocurrencies and digital assets. AMINA provides custody, trading, credit and investment products on cryptocurrencies and digital assets to institutional and professional investors. AMINA Bank is Headquartered in Zug, with presence in Mumbai, Abu Dhabi, Hong Kong and Singapore. AMINA India acts as a virtual extension of the bank supporting activities spanning digital assets research, investment solutions, trading & liquidity management, risk management and more recently technology and operations.

About the Role

AMINA is looking for an experienced Sr Data Engineer & Architect, who has deep data analytics skills, who thinks strategically, works pragmatically in a dynamic environment with few guardrails, and enjoys getting stuff done. You will need to carefully balance agility and the need to meet our partner teams’ immediate needs with building scalable, robust and reusable solutions.

Responsibilities

Contribute to the bank’s enterprise architecture overseeing the data architecture domain

Create efficient data pipelines for data processing, transformation, and storage.

Design and build ETL solutions which are performant, consistent, and scalable.

Develop and maintain data schemas that align with business requirements to ensure data consistency and efficient querying enabling reuse.

Generate ideas for designing and building data engineering solutions using standard frameworks.

Implement best practices for cloud-based data storage, security, and scalability.

Collaborate with cross-functional teams including architects, data analysts, database administrators, as well as Product and DevOps teams to understand data requirements and implement solutions.

Lead and mentor a small team of data specialists.

Experience

Min 7 years of relevant experience

Bachelor’s degree in Computer Science

Ability to thoroughly document the custom solution down to API calls.

Experience with data systems, such as SQL/T-SQL, Hadoop, Presto, Kafka or Spark Engine (Azure Synapse/Databricks/HDInsight or other distributions)

Experience working with Azure Storage, Data Lake, Cosmos DB or Data Warehouses

Power BI and Data Modeling

Experience working on DevOps (Version Control, CI/CD)

Experience with Azure

Hands-on experience APIs, SDKs, scripting, and ETL.

Understanding of Web Services, Internet architecture, SQL, and software development.

Self-motivated and self-managed with a high degree of dependability.

Excellent communication skills.

Prior team management experience

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