Resumo da vaga

SR Software Engineer (Data focus)- (Remote, India)

Requisitos e responsabilidades

Conteúdo da vaga extraído em seções para revisão mais rápida.

What You'll Do:

  • Design and implement scalable, secure data pipelines across multi-cloud ecosystems (Azure, AWS, GCP).
  • Develop and maintain ETL/ELT workflows using modern orchestration tools like Apache Airflow, Spark, and cloud-native services.
  • Build and optimize data processing frameworks with technologies such as Apache Beam, DLT, DBT, and Snowflake.
  • Collaborate with data scientists and AI engineers to operationalize machine learning models and integrate AI services (Azure AI, AWS SageMaker, GCP Vertex AI, Databricks MLflow).
  • Implement data quality, governance, and observability practices to ensure accuracy, consistency, and compliance.
  • Design and maintain data models and analytical layers that power self-service analytics and BI solutions.
  • Continuously evaluate emerging tools and frameworks to deliver best-in-class performance and cost efficiency.

What We're Looking For:

  • Cloud Expertise: Hands-on experience with platforms like Databricks, Snowflake, AWS (Redshift, Glue, Athena, EMR), Azure (Synapse, Data Lake), or GCP (BigQuery, Dataflow, Vertex AI).
  • Strong understanding of Delta Lake, Spark optimization, and distributed data processing.
  • Familiarity with multi-cloud architecture and secure data movement.
  • Data Engineering Skills: Proficiency in Python, experience with Apache Airflow, DBT, and scalable ETL/ELT frameworks.
  • AI Integration: Knowledge of MLflow, SageMaker, Vertex AI, or Azure ML for deploying models at scale.
  • Governance & Security: Understanding of data lineage, cataloging tools, and compliance standards (GDPR, HIPAA, SOC2).
  • Soft Skills: Analytical mindset, excellent communication, and ability to explain technical concepts to both engineers and business stakeholders.
  • Experience working in Agile environments and collaborating with cross-functional teams
  • English bilingual proficiency.

Preferred Certifications:

  • Databricks Certified Data Engineer (Associate or Professional)
  • Snowflake SnowPro Core / Advanced Architect
  • AWS Certified Data Analytics – Specialty
  • Google Cloud Professional Data Engineer
  • Microsoft Certified: Azure Data Engineer or AI Engineer Associate
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FocoSoftware EngineerÁrea da vaga
Sinal de senioridadeSeniorNível do candidato
StackAWS, Azure, GCPSkills principais
Localização1 país aceitoElegibilidade

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