Resumen del rol

Data Engineer (Remote, KA, IN)

Requisitos y responsabilidades

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Key Responsibilities:

  • Design and implement tailored data solutions to meet customer needs and use cases, spanning from streaming to data lakes, analytics, and beyond within a dynamically evolving technical stack.

Key Responsibilities:

  • Provide thought leadership by recommending the most appropriate technologies and solutions for a given use case, covering the entire spectrum from the application layer to infrastructure.

Key Responsibilities:

  • Demonstrate proficiency in coding skills, utilizing languages such as Python, Java, and Scala to efficiently move solutions into production while prioritizing performance, security, scalability, and robust data integrations.

Key Responsibilities:

  • Collaborate seamlessly across diverse technical stacks, including Cloudera, Databricks, Snowflake, and AWS.

Key Responsibilities:

  • Develop and deliver detailed presentations to effectively communicate complex technical concepts.

Key Responsibilities:

  • Generate comprehensive solution documentation, including sequence diagrams, class hierarchies, logical system views, etc.

Key Responsibilities:

  • Adhere to Agile practices throughout the solution development process.

Key Responsibilities:

  • Design, build, and deploy databases and data stores to support organizational requirements.

Basic Qualifications:

  • 4+ years of experience supporting Software Engineering, Data Engineering, or Data Analytics projects.

Basic Qualifications:

  • 2+ years of experience leading a team supporting data related projects to develop end-to-end technical solutions.

Preferred Skills:

  • Demonstrate production experience in core data platforms such as Snowflake, Databricks, Azure.

Preferred Skills:

  • Showcase professional written and verbal communication skills to effectively convey complex technical concepts.
  • Develop and maintain ETL/ELT pipelines, queries, and transformations in Snowflake (and, as needed, Databricks notebooks or jobs) according to agreed design patterns and metadata driven data pipeline frameworks.

Preferred Skills:

  • Implement medallion-layered data structures and reusable components that can be leveraged across multiple data products and domains.

Preferred Skills:

  • Assist in onboarding new data sources, mapping source data to target models, and applying data quality and monitoring rules

Preferred Skills:

  • Participate in daily standups, sprint ceremonies (if applicable), and ad hoc working sessions

Preferred Skills:

  • Undergraduate or Graduate degree preferred
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FocoData EngineerÁrea del rol
Señal de seniorityMiddleNivel del candidato
StackAWS, Azure, JavaSkills principales
Ubicación1 país aceptadoElegibilidad

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