Big Data Solutions Architect

7 days ago

Alwar, Rajasthan, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

Data Engineer Position

We are seeking an experienced Data Engineer to join our team.

Job Description:

The successful candidate will be responsible for designing, developing and maintaining ETL/ELT pipelines in AWS environments. They will leverage various 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. The ideal candidate will have a solid understanding of data modeling, data warehousing concepts and schema design principles.

Main Responsibilities:

  • Design and develop robust ETL/ELT pipelines that can process structured, unstructured and streaming data in AWS environments.
  • Leverage AWS services to achieve high performance, scalability and cost efficiency.
  • Ensure data governance, security and quality controls throughout the data lifecycle.
  • Collaborate with AI/ML teams to prepare clean and high-quality datasets for model training and inference.
  • Implement CI/CD pipelines and data engineering best practices in a cloud-native architecture.

Required Skills & Qualifications:

  • 3–7 years of hands-on experience in Data Engineering and building data pipelines in cloud-based environments.
  • 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 governance, lineage, security policies (IAM roles, encryption, Lake Formation).
  • 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 environment.
  • Passion for designing scalable and efficient cloud-native data solutions.

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