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Data Engineer

Bounteous

Bengaluru, Karnataka, India · À temps plein

Soyez le premier à postuler

Expérience
5–9 yrs
Salaire
Ouvertures
1
Publié
il y a 18 heures
Mode de travail
Au bureau
Éducation
Tout diplômé
Admissibilité
Any graduate degree holder is eligible to apply for this position.
CV
Candidature requise

Votre lieu de travail

Description de l'emploi

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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