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Senior Data Architect
4 months ago
Summary: We are seeking a highly skilled data architect to join our dynamic team. As a senior data architect, you will be responsible for designing, implementing and maintaining the AWS cloud infrastructure. You will plan a crucial role in architecting a scalable, reliable and efficient data solutions to support our business objectives.
Responsibilities
- Design, develop, and maintain the data lake house architecture on AWS using best practices and industry standards.
- Implement data labelling strategy and principals as required by Data Governance and Information Security.
- Design and implement robust ETL/ELT processes to extract, transform and load data from various sources into the data lake ensuring data quality and integrity.
- Ensure data quality, reliability, availability, and scalability across the data lake house.
- Optimize data ingestion, processing, storage, and access for various use cases such as analytics, reporting, machine learning, and data visualization.
- Develop and document data models, data dictionaries, data pipelines, and data standards.
- Provide technical guidance, code reviews and mentorship to data engineers and data analysts.
Stay updated with the latest trends and technologies in the data domain and evaluate new tools and frameworks.
Qualifications- Bachelor's / master's degree in computer science, Information Technology or related field.
- At least 10 years of experience in data engineering, data architecture, or software engineering.
- Proficiency in Python and SQL
- Proficient in AWS data services such as S3, Glue, Athena, Redshift, EMR, Kinesis, Lambda, etc.
- Strong knowledge of data lake concepts, architectures, and design patterns.
- Experience in building and managing data pipelines using tools such as Airflow, Spark, Kinesis etc.
- Experience in working with structured, semi-structured, and unstructured data sources such as relational databases, NoSQL databases, APIs, web logs, etc.
- Experience in data quality, data governance, data security, and data privacy frameworks and standards.
- Experience in data analysis, data visualization using tools such as Power BI
- Excellent communication, collaboration, and problem-solving skills.
- Knowledge of Iceberg, Trino will be considered an advantage
Compensation
- MUFG Investor Services provides all its employees with a competitive and attractive.
- compensation package.
- Starting salary will be dependent on experience and skills.
Benefits
- Competitive remuneration package
- Hybrid- & Flexible- Work model
- Medical insurance
- Provident Fund
- Life Insurance, Permanent Total Disability, Dread and Disease Insurance
- Fitness Activity Reimbursement
- Reimbursement of Professional Fees
