Chief Data Infrastructure Specialist

1 day ago

Hyderabad, Telangana, India beBeeDataEngineer Full time ₹ 15,00,000 - ₹ 25,00,000
Data Engineering Role

We are seeking a seasoned Data Engineer to drive the development and maintenance of our data infrastructure.

This individual will possess strong operational skills, expertise in building repeatable data engineering processes, strong project management abilities, and a forward-looking vision for delivering impactful data.

Key Responsibilities:

  • Create and orchestrate data pipelines within a state-of-the-art environment (Redshift, EC2, EMR, S3, Lambda, Glue, etc.).
  • Manage all aspects of the data and analytics ecosystem from ingestion to ETL to aggregate tables to meet analytics and reporting needs.
  • Design and implement internal data pipeline processes and improvements using modern techniques such as automation, optimization, and infrastructure redesign for scalability.
  • Develop scripts for scheduling data ingestion and synchronization, and implement backend logic to create data marts based on business requirements for stakeholder self-service.
  • Partner with data architects to build frameworks for defining metrics as code and optimizing data search and retrieval.
  • Troubleshoot production data jobs and processes to resolve data quality issues and improve pipeline performance.
  • Build and assemble large, complex data sets with multi-dimensional relationships to meet functional and non-functional business requirements.
  • Develop integrations between systems to ensure seamless data flow.
Requirements
  • Bachelors degree or higher in a quantitative or technical field (e.g., Computer Science, Statistics, Engineering) or equivalent experience.
  • 5+ years of experience in data engineering, database engineering, business intelligence, or business analytics.
  • 5+ years of SQL experience for reporting and transformation (Redshift, MySQL, PostgreSQL, Snowflake, Databricks).
  • 4+ years of Python experience, including class development, within a Git-managed CI/CD team development environment.
  • 4+ years of experience with schema design and dimensional data modeling.
  • Strong interest in understanding business strategy, not just data architecture, and a focus on how data engineering contributes to organizational goals.
  • Experience with Data Lake architectures and integrating structured and unstructured data into unified models.
  • Ability to define and align to a long-term vision, with a focus on reliability, curiosity, and self-sufficiency in diagnosing issues by digging into code, data, and logs.
  • Experience with API design and development of RESTful web services.
  • Analytical mindset with the ability to structure and process qualitative data and draw insightful conclusions.
  • Experience with data science and machine learning (a plus).
  • Experience with GIS (a plus).
  • Data visualization experience with tools such as Tableau (a plus).
  • Experience with JIRA (preferred).

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