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Accenture

Advises businesses and runs their technology

Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

  • A minimum of five years of experience is required, including at least five years using Databricks Unified Data Analytics Platform.
  • Fifteen years of full-time education is required.
  • Experience developing and managing Databricks notebooks.
  • Experience using Python to develop data-processing workflows, including Pandas and NumPy.
  • Experience with Apache Spark for big-data processing, including Spark SQL and Spark Streaming.
  • Knowledge of ETL processes and tools, particularly in the Databricks environment.
  • Strong SQL skills for querying and managing data within Databricks SQL.
  • Skills in optimizing Spark jobs and troubleshooting performance issues.
  • Knowledge of medallion architecture, data modeling (star and snowflake schemas), ETL, ELT, CI/CD, SDLC, and Agile methodologies.
  • Knowledge of ITIL incident, problem, and change management.
  • Experience with Power BI for visualization and reporting.
  • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
  • Experience building and managing scalable ETL pipelines.
  • Strong knowledge of data integration, transformation, and migration techniques.
  • Familiarity with cloud-based data storage and processing solutions.
  • Ability to troubleshoot and resolve complex data-related issues.
  • Understanding of data governance and quality assurance practices.
  • Ability to communicate technical concepts to non-technical stakeholders.
  • Ability to document pipelines, configurations, and processes clearly and comprehensively.

Responsibilities

  • Design, develop, and maintain data solutions for data generation, collection, and processing.
  • Create data pipelines and ensure data quality.
  • Implement ETL processes to migrate and deploy data across systems.
  • Collaborate with teams to optimize data workflows and support organizational data needs.
  • Lead efforts to optimize data pipeline performance and scalability.
  • Mentor junior team members to strengthen their technical skills and project contributions.
  • Coordinate cross-functional initiatives to align data engineering efforts with business objectives.
  • Collaborate with multiple teams and contribute to key decisions.
  • Provide solutions to problems for the immediate team and across multiple teams.

About the Company

Accenture

Advises businesses and runs their technology

Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.

Company size
10,001+
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1989

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