Apache Kafka Data Engineer Entry Level

About Accenture 

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth, and enhance citizen services - creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 775,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise, and global delivery capability. We are uniquely able to deliver tangible outcomes because of our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song. These capabilities, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us at www.accenture.com.

As a Data Engineer, you will:

Work across workstreams to support data requirements including reports and dashboards

Analyze and perform data profiling to understand data patterns and discrepancies following Data Quality and Data Management processes

Understand and follow best practices to design and develop the E2E Data Pipeline: data transformation, ingestion, processing, and surfacing of data for large-scale applications

Develop data pipeline automation using Azure technologies stack, Databricks, Data Factory

Understand business requirements to translate them into technical requirements that the system analysts and other technical team members can drive into the project design and delivery

Analyze source data and perform data ingestion in both batch and real-time patterns via various methods; for example, file transfer, API, Data Streaming using Kafka and Spark Streaming

Analyze and understand data processing and standardization requirements, develop ETL using Spark processing to transform data

Understand data/reports and dashboards requirements, develop data export, data API, or data visualization using Power BI, Tableau, or other visualization tools.

We are looking for experience and qualifications in the following:

Bachelor’s degree in Computer Science, Computer Engineer, IT, or related fields

Relevant experience in Data Engineering fields (new graduates are also welcome for some of our job openings)

Data Engineering skills: Python, SQL, Spark, Cloud Architect, Data & Solution Architect, API, Databricks, Azure

Data Visualization skills: Power BI (or other visualization tools), DAX programming, API, Data Model, SQL, Story Telling and wireframe design

Business Analyst skills: business knowledge, data profiling, basic data model design, data analysis, requirement analysis, SQL programing

Basic knowledge in Data Lake/Data Warehousing/ Big data tools, Apache Spark, RDBMS and NoSQL, Knowledge Graph

Experience working in a client-facing/consulting environment is a plus

Team player, analytical and problem-solving skills

Good communication skills in English

You will also have opportunities to hone your functional skills and expertise in an area of specialization.  We offer a variety of formal and informal training programs at every level to help you acquire and build specialized skills faster. Learning takes place both on the job and through formal training conducted online, in the classroom, or in collaboration with teammates. The sheer variety of work we do, and the experience it offers, provide an unbeatable platform from which to build a career.

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, gender identity, or any other basis as protected by applicable law.