
Principal Data Architect
19 hours ago
Job Description:
A Data Architect plays a pivotal role in designing and developing data management systems, ensuring seamless data flow between various departments. This includes the creation of data warehouses, data lakes, and other repositories to store and manage large datasets.
- Mandatory - Proficiency in Python and PySpark programming languages, with hands-on experience in Big Data technologies.
- Built scalable data pipelines using Spark Dataframes in Python.
- Optimized complex queries to process huge volumes of data, resulting in improved performance and reduced latency.
- Utilized version control tools like Git for efficient collaboration and code management.
- Designed and implemented Amazon EMR, Amazon Athena, and AWS Glue services for data processing and analytics.
- Leveraged Amazon Lambda, EC2, S3, and other cloud services for serverless computing, storage, and content delivery.
- Familiarity with data warehousing concepts, including dimensions, facts, schemas, and data modeling techniques.
- Experience with columnar storage formats, such as Parquet, Avro, and ORC, as well as compression techniques like Snappy and Gzip.
- Awareness of AWS databases, including Aurora, RDS, Redshift, ElastiCache, and DynamoDB.
- Hands-on experience working with cutting-edge technologies and innovative projects.
- Opportunities for professional growth and development in a dynamic and collaborative environment.
- Collaborative work style and open communication with cross-functional teams.
- Mentorship opportunities for junior team members and knowledge sharing within the organization.
- Continuous learning and skill enhancement through training programs, workshops, and online courses.
- Flexible work arrangements, including remote work options and flexible hours.
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