Lead Cloud-Based Data Solutions Architect

1 week ago

Cochin, Kerala, India beBeeDataEngineer Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Cloud-Native Data Engineer

We are seeking a skilled Cloud-Native Data Engineer to design, develop, and maintain data pipelines in cloud-based environments.

  • Develop robust ETL/ELT pipelines using AWS services such as S3, Glue, EMR, Lambda, Kinesis, Step Functions, Redshift, Athena, DynamoDB, RDS, and Lake Formation.
  • Leverage expertise in big data frameworks like Apache Spark, Hadoop, or Flink to process structured, unstructured, and streaming data.
  • Collaborate closely with AI/ML teams to prepare clean, high-quality datasets optimized for model training, inference, and fine-tuning.

Key Responsibilities:

  • Ensure robust data governance, security, and quality controls throughout the data lifecycle.
  • 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.
Required Skills & Qualifications

Requirements:

  • 3-7 years of hands-on experience in Data Engineering, building data pipelines, and cloud-based data solutions.
  • Strong programming skills in Python, SQL, and/or Scala/Java.
  • 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 Skills:

  • Familiarity with DevOps practices, including Infrastructure as Code (Terraform, CloudFormation), CI/CD automation, Git, and containerization (Docker).

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