Senior Data Architecture Specialist

3 days ago

Tirupati, Andhra Pradesh, India beBeeDataEngineer Full time ₹ 80,00,000 - ₹ 2,00,00,000
Job Title: Data Engineer

We are seeking a skilled data engineer to lead the design, development, and maintenance of scalable data pipelines and infrastructure.

  • Main Responsibilities:
  • Design, develop, and maintain robust data pipelines and ETL workflows.
  • Build and manage scalable data architectures and cloud-based infrastructure.
  • Ensure data accuracy, completeness, consistency, and governance.
  • Collaborate with analytics and engineering teams to understand data needs.
  • Optimize performance of data systems, queries, and storage solutions.
  • Implement data quality monitoring and alerting systems.
  • Create and maintain comprehensive documentation for data workflows and schemas.
  • Stay up-to-date with the latest trends in data engineering and cloud technologies.

Requirements:

  • Proven experience as a data engineer or in a similar data infrastructure role.
  • Strong programming skills in languages such as Python, Java, or Scala.
  • Proficient in SQL and experienced with relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra) databases.
  • Experience with data processing frameworks like Apache Spark, Hadoop, Kafka, or Flink.
  • Hands-on experience with cloud platforms such as AWS, Google Cloud Platform, or Azure.
  • Familiarity with modern data warehousing tools (e.g., Snowflake, Redshift, BigQuery).
  • Experience with orchestration tools like Airflow, Luigi, or Prefect.
  • Understanding of data security, privacy, and compliance practices (e.g., GDPR, HIPAA).
  • Strong problem-solving skills and attention to detail.
  • Bachelor's degree in Computer Science, Engineering, or a related field.

Preferred Qualifications:

  • Experience with CI/CD pipelines and version control (Git).
  • Exposure to machine learning pipelines and model deployment.
  • Advanced certifications in cloud or big data platforms.

About the Role:

This is an opportunity to work on high-impact projects and develop scalable data systems. The ideal candidate will be part of a collaborative and innovation-driven environment, with opportunities for continuous learning and career growth. We value diversity and inclusivity, and welcome applicants from around the world.

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