
Cloud Data Architect – Energy Sector
3 days ago
Job Title: Cloud Data Architect – Energy Sector
- Job Description:
- Achieve data-driven solutions in the energy sector by designing and implementing scalable data architectures on AWS cloud.
- Develop expertise in AWS services, including S3, Redshift, Glue, Athena, EMR, Lake Formation, Lambda, Kinesis, Step Functions, CloudWatch, RDS, DynamoDB, PySpark, Python, SQL, data modeling, warehousing, performance tuning, data lake architecture, and CI/CD practices for data solutions.
- Required Skills and Qualifications:
- Strong experience in AWS cloud services, with proficiency in ETL/ELT development using PySpark, Python, or SQL.
- Expertise in data modeling, warehousing, and performance tuning, with knowledge of data lake and modern data architecture.
- Strong SQL skills and ability to work with large datasets, with hands-on experience with CI/CD and DevOps practices for data solutions.
- Familiarity with oil and gas industry datasets and use cases, including production, drilling, exploration, sensor/IoT data.
- Benefits:
- Collaborate with domain experts, data scientists, and business analysts to translate energy business requirements into data solutions.
- Ensure data governance, data quality, and security compliance.
- Support real-time data streaming and analytics using AWS services (Kinesis, Kafka, Lambda).
- Others:
- Document technical solutions and provide knowledge transfer to the team.
- Proficiency in AWS services: S3, Redshift, Glue, Athena, EMR, Lake Formation, Lambda, Kinesis, Step Functions, CloudWatch, RDS, DynamoDB.
- Experience with data ingestion patterns, data bricks, Azure Data Factory, incremental and append data load, and SQL knowledge.
- Understanding of data lakes, data warehouses, and modern data architectures.
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