
Data Architect
2 weeks ago
Job Summary:
The role of a Data Architect is to design and implement data systems that are scalable, secure, and compliant with industry standards.
Key Responsibilities:
- Work closely with Product Owners and AWS Professional Service Architects to understand requirements and formulate solutions.
- Implement scalable data transformation pipelines as per design.
- Evaluate new capabilities of AWS analytics services, develop prototypes, and assist in drawing POVs.
Requirements:
- Minimum 3 years experience implementing transformation and loading of data from various sources using SQL, NoSQL, and data pipelines for real-time, streaming, batch, and on-demand workloads.
- At least 2 years implementing solutions using AWS services such as Lambda, AWS Athena, and Glue, S3, Redshift, Kinesis, Lambda, Apache Spark.
- Experience working with data warehousing, data lakes, or Lakehouse concepts on AWS.
- Develop object-oriented code using Python, besides PySpark, SQL, and one other language (Java or Scala would be preferred).
- Experience on Streaming technologies both OnPrem/Cloud such as consuming and producing from Kafka, Kinesis.
- Experience building pipelines and orchestration of workflows in an enterprise environment using Apache Airflow/Control M.
- Good understanding of Dimensional Data Modelling will be a plus.
Preferred Qualifications:
- Experience working in an Agile/Scrum environment.
- Excellent verbal and written communication skills with great attention to detail and accuracy.
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