Cloud Data Architect

2 days ago

Ghaziabad, Uttar Pradesh, India beBeeData Full time ₹ 1,20,00,000 - ₹ 2,50,00,000
Cloud Data Engineer Job DescriptionWe are seeking skilled cloud data engineers to join our team and contribute to the design, development, and management of robust data pipelines.About the Role:As a cloud data engineer, you will be responsible for building efficient ETL/ELT workflows using AWS services such as S3, Glue, EMR, Redshift, Athena, Kinesis, Lambda, Step Functions, DynamoDB, and RDS.You will work closely with AI/ML teams to prepare clean, high-quality datasets optimized for model training, inference, and fine-tuning.Key Responsibilities:
  • Design, develop, and maintain ETL/ELT pipelines to process structured, unstructured, and streaming data in AWS environments.
  • Leverage AWS services such as S3, Glue, EMR, Redshift, Athena, Kinesis, Lambda, Step Functions, DynamoDB, and RDS for scalable data ingestion, transformation, storage, and querying.
  • Ensure robust data governance, security, and quality controls throughout the data lifecycle, supporting regulatory compliance.
  • Enable both real-time and batch data processing pipelines to power AI-driven workflows and applications.
  • Collaborate closely with AI/ML teams to prepare clean, high-quality datasets optimized for model training, inference, and fine-tuning.
  • Optimize data infrastructure to achieve high performance, scalability, reliability, and cost efficiency.
  • Implement CI/CD pipelines and data engineering best practices in a cloud-native architecture for automated deployments.
  • Monitor, debug, and resolve issues in data pipelines to ensure high availability, reliability, and minimal latency.
Requirements:To be successful in this role, you will need:
  • A strong background in data engineering, with 3-7 years of hands-on experience in building data pipelines and cloud-based data solutions.
  • Expertise in AWS cloud services, including S3, Glue, EMR, Redshift, Athena, Kinesis, Lambda, Step Functions, DynamoDB, and RDS.
  • Experience with data pipeline orchestration tools such as Apache Airflow, AWS Step Functions, Dagster, or similar.
  • Proficiency in big data frameworks like Apache Spark, Hadoop, or Flink.
  • Solid understanding of data modeling, data warehousing concepts, and schema design principles.
  • In-depth knowledge of data governance, lineage, security policies (IAM roles, encryption, Lake Formation).
  • Hands-on experience in managing real-time streaming data using Kafka, Kinesis, or equivalent tools.
Preferred Attributes:We value candidates with:
  • Experience working in regulated industries (healthcare, Life Sciences) with a focus on compliance and data privacy.
  • Strong problem-solving skills and ability to work in a collaborative, cross-functional team environment.
  • Passion for designing scalable and efficient cloud-native data solutions.
  • Excellent documentation skills, ensuring clear communication of technical solutions and architecture.
What We Offer:We offer a competitive salary and benefits package, including opportunities for professional growth and development.This is an exciting opportunity to join a dynamic team and contribute to the success of our organization.We are committed to diversity, equity, and inclusion, and we welcome applicants from all backgrounds.

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