Descripción Del Puesto

There will never be a typical day at Accenture Digital, but that’s why people love it here. The opportunities to make a difference while working on exciting client initiatives are limitless in this ever-changing space. Our clients operate at scale in international markets – you’ll be working with famous brands and household names – no worrying about how to explain what you do to your family again!

We are actively looking for a Data Engineer 

Key role and responsibilities:

The ideal candidate would be responsible for developing and delivering on data ingestion, storage, streaming data pipelines, and cloud data warehousing, for advanced analytics applications. The key goal of this team is to leverage various real-time data signals for personalization and customer intelligence in the marketing domain. The Data Engineer will be responsible for delivering Cloud based Big Data and Analytical Solutions for our clients by extracting data from disparate sources and systems, merging and transforming it through scalable, optimized and intelligent workflows. Use your experience in building data pipelines and connectors on the cloud, to design a robust, secure, optimized, and scalable capability. 

  • Extract, Transform and Load: Integrate, transform data from various sources, and push to a central cloud warehouse for transformation (e.g. GCP, BigQuery, AWS, Snowflake), enabling data scientists to leverage in various applications

  • Ensure data usability, granularity, security and availability. Staging and testing before connecting to analytics and visualization layers.

  • Ability to leverage Python and JSON to customize workflows and streamline repetitive tasks to execute programmatically. The core team can provide sample code, and implementation best practices, but the person should be very familiar with using and executing Python scripts.

  • Work with core team to define data hierarchy/ dimensions, data dictionary for standardization of data structures, and defining data governance & workflow automation processes.

  • Collaborate with data scientists to implement state of the art, scalable, high performance applications (ML/AI/ statistical learning engines) that meet the need of today’s complex media and marketing ecosystem.


Qualifications and Experience Required:

       Bachelors or higher degree in Computer Science or a related discipline.

       SQL (required), Java (optional)

       Experience with structured/semi-structured data, cloud architectures, pros/cons, and migration considerations. Extensive hands-on experience implementing data migration and data

       Minimum of 2-3 years’ experience on Cloud technologies (GCP/AWS/Azure). Familiarity with cloud staging and processing environments

       At least 2-3 years ‘experience building APIs/connectors, ETL and Database/RDBMS expertise for developing data ingestion, processing and analytical pipelines for big data, on cloud data warehousing solutions

Preferred Skill Set:

       Preferred familiarity with media/marketing data + 1st party data (CRM)

       Experience with Snowflake type new warehousing solutions will reduce the learning curve

       Multi cloud experience a plus

       Certifications on GCP/AWS/Azure nice to have

       Experience developing and deploying ETL solutions on cloud using tools like Talend, Informatica, Matillion

       IoT, event-driven, microservices, containers/Kubernetes in the cloud

Professional Skill Requirements

       Proven ability to build, manage and foster a team-oriented environment

       Proven ability to work creatively and analytically in a problem-solving environment

       Excellent management, prioritization, communication (written and oral) and interpersonal skills

Please also note that Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, or gender identity.

Todas las decisiones de empleo se tomarán sin importar la edad, raza, credo, color, religión, sexo, origen nacional, ascendencia, grado de discapacidad, estado de veterano, orientación sexual, identidad o expresión de género, información genética, estado civil, estado de ciudadanía o cualquier otro motivo o circunstancias protegidas por las leyes federales, estatales o locales.
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