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Azure Databricks Data Engineer/Developer

Actively Reviewing the Applications

Infosys

India, Karnataka Full-Time On-site
Posted 2 hours ago • Apply by June 10, 2026

Job Description

Requirements:

  • Experience in Databricks, SQL, PySpark, Spark, Python, and Azure Data Factory (ADF).
  • Experience in designing, developing, and maintaining data pipelines and data streams.
  • Experience in moving/transforming data across layers (Bronze, Silver, Gold) using ADF, Python, and PySpark.
  • Experience in working with stakeholders to understand their data needs and provide solutions.
  • Experience in collaborating with other teams to ensure data quality and consistency.
  • Experience in developing and maintaining data models and data dictionaries.
  • Experience in developing and maintaining ETL processes.
  • Experience in developing and maintaining data quality checks.
  • Experience in developing and maintaining data governance policies and procedures. Experience in developing and maintaining data security policies and procedure Responsibilities:
  • Design and build modern data pipelines and data streams.
  • Move/Transform data across layers (Bronze, Silver, Gold) using ADF, Python, and PySpark.
  • Develop and maintain data pipelines and data streams.
  • Work with stakeholders to understand their data needs and provide solutions.
  • Collaborate with other teams to ensure data quality and consistency.
  • Develop and maintain data models and data dictionaries.
  • Develop and maintain ETL processes.
  • Develop and maintain data quality checks.
  • Develop and maintain data governance policies and procedures.
  • Develop and maintain data security policies and procedures.
  • Provide technical guidance and mentorship to junior data engineers Knowledge of more than one technology
  • Basics of Architecture and Design fundamentals
  • Knowledge of Testing tools
  • Knowledge of agile methodologies
  • Understanding of Project life cycle activities on development and maintenance projects
  • Understanding of one or more Estimation methodologies, Knowledge of Quality processes
  • Basics of business domain to understand the business requirements
  • Analytical abilities, Strong Technical Skills, Good communication skills
  • Good understanding of the technology and domain
  • Ability to demonstrate a sound understanding of software quality assurance principles, SOLID design principles and modelling methods
  • Awareness of latest technologies and trends
  • Excellent problem solving, analytical and debugging skills

Required Skills

Communication Problem Solving Quality Assurance Agile Python SQL Maintenance Spark Data Governance Azure Databricks ETL Agile Methodologies Testing Debugging Data quality ADF Governance Data models ETL processes Software Quality Data pipelines PySpark Design Principles Factory Software Quality Assurance Analytical abilities Testing tools Data dictionaries Data streams Mentorship Estimation Procedure Azure Data Factory Business Domain Data Factory Streams
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