Data Platform Engineer

3 days ago

Gulbarga, Karnataka, India beBeeData Full time ₹ 20,00,000 - ₹ 25,00,000
Job Description

We are seeking a seasoned Data Architect to spearhead the development of our data engineering solutions.

  • Design and develop robust, scalable, and secure data architectures that meet business requirements.
  • Lead the implementation of data solutions on various cloud platforms (AWS, Azure, and GCP).
  • Define and enforce data governance, quality, and security standards.
  • Collaborate with data engineers, data scientists, and business stakeholders to understand needs and translate them into technical solutions.
  • Evaluate new technologies and tools to improve our data infrastructure and practices.
  • Create and maintain detailed documentation of data architecture, data flows, and processes.
  • Provide technical leadership and mentorship to junior team members.
  • Stay up-to-date with the latest trends and best practices in data architecture and cloud computing.
Required Skills and Qualifications

To be successful in this role, you will need:

  • A bachelor's or master's degree in Computer Science, Engineering, or a related field.
  • 8-12 years of experience with 3+ years of experience in data architecture or a similar role.
  • Proven expertise in designing and implementing data solutions on at least one major cloud platform (AWS, Azure, or GCP).
  • Solid understanding of cloud-native data services such as:
  • AWS: Redshift, S3, Glue, Athena, and EMR.
  • Azure: Synapse Analytics, Data Lake, Data Factory, and Databricks.
  • GCP: BigQuery, Cloud Storage, Dataflow, and Dataproc.
  • Experience with big data technologies (e.g., Spark, Hadoop) and data warehousing concepts.
  • Strong knowledge of SQL, ETL/ELT processes, and data modeling techniques.
  • Excellent problem-solving skills and the ability to work independently as well as part of a team.
  • Strong communication and collaboration skills.
Benefits

This is an exciting opportunity to join a global data and AI consulting services company and contribute to the transformation of data into tangible business results.

Others

Prior experience with DevOps practices and tools (e.g., CI/CD pipelines, Terraform, Docker, Kubernetes) is a plus. Certification in one or more cloud platforms is also desirable.

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