Data Architect
13 hours ago
- Translate business requirements into data requests, reports and dashboards.
- Strong Database & modeling concepts with exposure to SQL & NoSQL Databases
- Strong data architecture patterns & principles, ability to design secure & scalable data lakes, data warehouse, data hubs, and other event-driven architectures
- Expertise in designing and writing ETL processes in Python / Java / Scala
- Understanding of Hadoop framework - Exposure to PySpark, Spark, Storm, HDFS, Hive
- Strong hands-on experience with either Databricks or Snowflake; experience with both is desirable.
- Knowledge of Master Data management and related tools
- Strong exposure to data security and privacy regulations (GDPR, HIPAA) and best practices
- Skilled in ensuring data accuracy, consistency, and quality
- Experience with the AWS/Azure/GCP data engineering services
- Knowledge of AWS services viz., AWS S3, Redshift, Lambda, DynamoDB, EMR, Glue, Lakeformation, Athena, Quicksight, RDS, Kinesis, Managed Kafka, API Gateway, CloudWatch
- And / OR
- Knowledge of Azure services viz., ADF, Data Catalog, Databricks, Azure Synapse Analytics, ADLS Gen2, Azure Devops
- Ability to implement data validation processes and establish data quality standards.
- Experience in Linux
- Proficiency in data visualization tools like Tableau, Power BI or similar to create meaningful insights
- Experience working with data ingestion tools such as Fivetran, stitch, or Matillion
- AWS IOT solutions
- Apache NiFi, Talend, Informatica
- Exposure to AI / ML technologies
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