Data Engineer for Cloud Data Warehouses

5 days ago

Bengaluru, Karnataka, India Loop health Full time

Company Overview

We are Loop Health, a cutting-edge company dedicated to pushing the boundaries of data-driven decision-making.

Job Summary

As a highly skilled Data Engineer for Cloud Data Warehouses, you will be responsible for designing and implementing scalable and reliable data engineering pipelines, as well as overseeing the expansion of our current data architecture.

Responsibilities

  • Collaborate with engineers and stakeholders to build a platform for enabling data-driven decisions.
  • Build reliable, scalable, CI/CD driven streaming and batch data engineering pipelines.
  • Oversee and govern the expansion of the current data architecture and the optimization of query and data warehouse performance.
  • Create conceptual data models to identify key business entities and visualize their relationships.
  • Create detailed logical models using business intelligence logic by identifying all the entities, attributes, and relationships.
  • Design and maintain data architectures using storage (cloud data warehouse, S3 data lake), orchestration (Airflow), processing (Spark, Flink), streaming services (Kafka), BI tools, graph database, and real-time large scale event aggregation store.
  • Work on cloud data warehouses, data as a service, business intelligence, and machine learning solutions.
  • Data wrangling in a diverse environment.
  • Ability to provide data and analytics solutions that are cutting-edge.
  • Identify strategic and Operational KPIs for the team and drive the team to deliver committed targets.

Requirements

  • SQL knowledge, as well as programming skills in Scala or Python.
  • 5+ years of applicable data warehousing, data engineering, or data architecture experience.
  • Experience with the GCP stack (BigQuery, GCP Databricks) is a plus.
  • Ability to design data analytics solutions to meet performance and scaling requirements.
  • Demonstrated analytical and problem-solving abilities, particularly in the context of large data.
  • Data warehousing concepts and modern data warehouse/Lambda architecture are well-understood.
  • Good understanding of the Machine Learning and Artificial Intelligence (AI) solution space.
  • Communication and interpersonal skills at all levels of management.

What We Offer

  • A competitive salary range: $120,000 - $180,000 per year.
  • An opportunity to work with a talented team of professionals.
  • Professional growth and development opportunities.
  • A dynamic and supportive work environment.

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