Leading Data Solutions Developer

4 days ago

Chennai, Tamil Nadu, India beBeeDataEngineering Full time ₹ 7,00,000 - ₹ 14,20,000
Job Title: Data Architect

This role is responsible for designing, building and maintaining scalable data solutions including data pipelines, data models, and applications for efficient and reliable data workflow. Key responsibilities include collaborating with stakeholders to understand current and future data requirements, designing, building and maintaining reliable, efficient and scalable data infrastructure for data collection, storage, transformation, and analysis, and ensuring optimum performance and identifying improvement opportunities.

Key Responsibilities:
  • Collaborate with business and technology stakeholders to understand current and future data requirements.
  • Design, build and maintain reliable, efficient and scalable data infrastructure for data collection, storage, transformation, and analysis.
  • Plan, design, build and maintain scalable data solutions including data pipelines, data models, and applications for efficient and reliable data workflow.
  • Design, implement and maintain existing and future data platforms like data warehouses, data lakes, data lake house etc. for structured and unstructured data.
  • Design and develop analytical tools, algorithms, and programs to support data engineering activities like writing scripts and automating tasks.
Required Skills and Qualifications:
  • Strong proficiency and hands-on experience in Python (must-have) and Java (nice to have).
  • Experience building and maintaining data pipelines (batch or streaming) preferably on Cloud platforms (especially GCP).
  • Experience with at least one major distributed data processing framework (e.g., DBT, Apache Spark, Apache F link, or similar).
  • Experience with workflow orchestration tools (e.g., Apache Airflow, Qlik replicate etc).
  • Experience working with relational databases (SQL) and understanding of data modeling principles.
  • Experience with cloud platforms (preferably GCP, AWS or Azure) and relevant data services (e.g., Big Query, GCS, Data Factory, Data proc, Dataflow, S3, EMR, Glue etc.).
  • Experience with data warehousing concepts and platforms (Big Query, Snowflake, Redshift etc.).
Preferred Skills and Qualifications:
  • Familiarity with data quality and data governance concepts.
  • Experience building and consuming APIs (REST, g RPC) related to data or model serving.
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.

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