Chief Data Architect

2 weeks ago

Nagpur, Maharashtra, India beBeeData Full time ₹ 1,00,00,000 - ₹ 2,00,00,000

Job Title: Data Engineer

We are seeking skilled professionals to design, build and manage robust data pipelines that power AI solutions.

The role focuses on developing efficient workflows, ensuring data quality, security and scalability to support AI/ML model training and decision-making processes in a cloud-native environment.

Key Responsibilities:

  • Data Engineering Expertise: Design, develop and maintain ETL/ELT pipelines to process structured, unstructured and streaming data.
  • Leverage AWS services such as S3, Glue, EMR, Lambda, Kinesis, Step Functions, Redshift, Athena, DynamoDB, RDS and Lake Formation for scalable data ingestion, transformation, storage and querying.
  • Data Governance: Ensure robust data governance, security and quality controls throughout the data lifecycle, supporting regulatory compliance.
  • AI/ML Enablement
  • Collaborate closely with AI/ML teams to prepare clean, high-quality datasets optimized for model training and inference.
  • Infrastructure Optimization
  • Automation and Monitoring

Required Skills & Qualifications:

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

Preferred Attributes:

  • Experience working in regulated industries with a focus on compliance and data privacy.
  • Strong problem-solving skills and ability to work in a collaborative team environment.
  • Passion for designing scalable and efficient cloud-native data solutions.
  • Excellent documentation skills, ensuring clear communication of technical solutions and architecture.

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