Senior Business Intelligence Developer

2 weeks ago

Aligarh, Uttar Pradesh, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

Job Title: Data Architect

Total years of experience: 10+ years

Responsibilities:

  • Lead in the design and development of features in the existing Data Warehouse.
  • Provide leadership in establishing connections between Engineering, product, and analytics/data scientists teams.
  • Design, implement, and update existing/new batch ETL pipelines with efficiency and effectiveness.
  • Define and implement data architecture for scalable growth.
  • Partner with engineers and data analysts to build reliable datasets that can be trusted, understood, and used by the company.
  • Work with various data orchestration tools (Apache Airflow, Dagster, Prefect) and leverage their capabilities.
  • Embrace a fast-paced start-up environment with agile methodologies.
  • Be passionate about your job and enjoy working in an international environment.
  • Background or experience in the telecom industry is not required but considered a plus.
  • Love automating and monitoring processes.

Requirements:

  • A deep understanding of Data Architecture and models with expertise in leading data-driven projects.
  • Solid expertise in Data Modelling paradigms including Kimball, Inmon, Data Marts, Data Vault, and Medallion.
  • Experience with Cloud-Based data strategies and big data technologies.
  • Strong skills in designing data pipelines for ETL with expert knowledge on ingestion, transformation, and data quality.
  • Hands-on experience in SQL with proficiency in query optimization and index design.
  • Deep understanding of PostgreSQL development and ability to manipulate complex-level SQL.
  • Thorough knowledge of Postgres PL/SQL to work with complex warehouse workflows.
  • Ability to use advanced SQL concepts along with applying statistical concepts through SQL.
  • Working experience with PostGres SQL extensions like PostGIS is desired.
  • Expertise in writing ETL pipelines combining Python + SQL is required.
  • Understanding of data manipulation libraries in Python like Pandas, Polars, and DuckDB is desired.
  • Experience in designing Data visualization with different tools is desirable.

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