Data Engineer Lead

في Alpheya في UAE
نُشرت يوم January 8, 2024

تفاصيل الوظيفة

We are recruiting for a Data Engineer Lead to join Alpheya.

About Alpheya

We are a B2B WealthTech startup based in Abu Dhabi and backed by BNY Mellon and Lunate. Our mission is to power and grow our clients' Wealth franchises through differentiated experiences, financial solutions, and insights. We are doing this through a state-of-the-art digital wealth management platform, that will enable banks and other financial institutions in the GCC to grow and further penetrate affluent, HNW and UHNW investor segments. While still leveraging the capabilities and knowledge of large organizations, our fintech is a startup with truly cross-functional and agile teams. This is an opportunity to be part of an exciting opportunity right from its inception, as we look to build our organization, design, and build the product and go-live with the first client in the next 12 months. For more information, please visit

Role description and responsibilities

  1. Build Data Lake components:

    1. Low code streaming data ingest & integration
    2. ETL big data cloud platform
    3. Data compute & Machine Learning big data cloud platform
    4. Self-service data management platform
    5. Data Quality change management and monitoring framework
  2. Build Data access components:

    1. BI components with sub-second rollups over petabytes of data
    2. Self-service report designer and visualization platform
    3. Scalable Cloud Data Services & API
    4. Data sharing, Data as a Service, Bring-your-own-key platform
  3. BI & Data Insights:

    1. Democratize access to Practice Management and Book Management analytics for financial advisors across large financial institutions and small shops
    2. Onboard new third-party data sources to further build investors' 360 data coverage

Experience, competencies, and skills required

Bachelor's degree in computer science or a related discipline, or equivalent work experience required; advanced degree is beneficial A minimum of ten years data technology experience 6+ years' experience as a Data Engineer - working with Cloud environments 10+ years of experience working with relational databases, SQL and dimensional modeling 6+ years of experience administering and designing cloud-based data warehousing solutions such as Snowflake or Databricks 6+ years Python experience - focused on Data and distributed processing Strong communications skills

Critical Tech-Skills

DBT, Airflow, Flink, Kafka, Spark, TensorFlow/PyTorch or other ML libraries, MINIO, Immurta Agile Development experience, SDLC Tools, Gitlab, Maven, DevOps, CI/CD – Jenkins Data Governance, Data Lineage, Schema Change Management, Data Hub DevOps: Dockers, Kubernetes, Unix scripting, Terraform, CloudFormation Data-quality Monitoring, Application logging and troubleshooting, Great Expectation Languages: Java, Bash, Trino, Data Science & ML operationalization

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