Senior Data Architect

1 day ago

Hyderabad, Telangana, India beBeeDataEngineer Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Job Overview:

We are looking for a skilled and experienced Data Engineer to lead our data engineering team.

The ideal candidate will be responsible for gathering requirements, designing, architecting solutions, developing, and maintaining robust and scalable ETL & ELT data pipelines using Python and GCP services.

The role involves working closely with customers, gathering requirements, discovery phase, designing, architecting solutions, implementing data transformations, data ingestion, data quality, and consistency across systems, and post-delivery support.

This is a leadership position that requires a deep understanding of data pipeline architecture, data integration, and transformation techniques, as well as hands-on experience with version control systems like GitHub and knowledge of CI/CD practices.

Key Responsibilities:

  • Design, develop, test, and maintain scalable ETL data pipelines using Python.
  • Architect enterprise solutions with various technologies like Kafka, multi-cloud services, auto-scaling using GKE, Load balancers, APIGEE proxy API management, DBT, LLMs, redaction of sensitive information, DLP, etc.
  • Work extensively on GCP services such as Dataflow, Cloud Functions, BigQuery, Cloud Composer, IAM, Cloud Storage, Cloud Run, etc.

Required Skills and Qualifications:

  • 10-12 years of hands-on experience in Python for backend or data engineering projects.
  • Strong understanding and working experience with GCP cloud services (especially Dataflow, BigQuery, Cloud Functions, Cloud Composer, etc.).
  • Solid understanding of data pipeline architecture, data integration, and transformation techniques.
  • Experience in working with version control systems like GitHub and knowledge of CI/CD practices.
  • Hands-on experience with Apache Spark, Kafka, Redis, FastAPI, Airflow, GCP Composer DAGs.
  • Strong experience in SQL with at least one enterprise database (SQL Server, Oracle, PostgreSQL, etc.).
  • Experience in data migrations from on-premise data sources to Cloud platforms.

Desirable Skills:

  • Experience working with Snowflake cloud data platform.
  • Hands-on knowledge of Databricks for big data processing and analytics.
  • Familiarity with Azure Data Factory (ADF) and other Azure data engineering tools.

Additional Requirements:

  • Excellent problem-solving and analytical skills.
  • Strong communication skills and ability to collaborate in a team environment.

Education:

Bachelor's degree in Computer Science, a related field, or equivalent experience.

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