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Data Engineer

Bounteous

Bengaluru, Karnataka, India · Tempo pieno

Sii il primo a candidarti

Esperienza
5–9 anni
Stipendio
Aperture
1
Pubblicato
23 ore fa
Modalità di lavoro
In ufficio
Istruzione
Qualsiasi laureato
Requisiti di ammissibilità
Any graduate degree holder is eligible to apply for this position.
Riprendere
È necessario candidarsi

Dove lavorerai

Descrizione del lavoro

Role Overview

Join Bounteous x Accolite as a Data Engineer to design and enhance scalable ETL processes and enterprise data warehousing solutions. Our collaborative approach delivers advanced digital experiences and impactful business results worldwide.

Key Responsibilities

  • Develop and optimize robust ETL pipelines using technologies such as Python, SQL, Snowflake, and Azure services.
  • Create and maintain enterprise data warehouse and lakehouse architectures focused on scalability, reliability, and performance.
  • Author complex SQL queries and data models to fulfill analytics and business requirements.
  • Manage data integration workflows leveraging tools like Azure Data Factory, Databricks/Spark, Informatica, or SnapLogic.
  • Ensure data governance, quality assurance, monitoring, and operational support for data platforms.
  • Troubleshoot data issues and enhance query execution efficiencies in production settings.
  • Collaborate across teams to design and implement resilient data solutions for batch and real-time processing.

Candidate Profile

  • 5 to 9 years of professional experience in data engineering, ETL development, or data warehousing roles.
  • Proficient in Snowflake, ETL processes, Python scripting, and advanced SQL techniques (mandatory).
  • Experience with Azure cloud data services including Azure Data Factory, Databricks, Azure Storage, and Event Hub.
  • Deep understanding of data modeling, database design, query optimization, and performance tuning methodologies.
  • Familiar with relational database systems such as Oracle, SQL Server, MySQL, and PostgreSQL.
  • Exposure to CI/CD pipelines, GitHub, Azure DevOps, and DataOps workflows.
  • Hands-on with data integration platforms like Informatica or SnapLogic.
  • Knowledge of both batch processing and streaming data architectures.
  • Strong analytical and troubleshooting abilities suited to high-scale enterprise data environments.
  • Capable of thriving in fast-paced settings supporting enterprise data platforms.

Additional Information

Applicants should have completed any graduate degree to be eligible for this role.

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