Data Engineer
Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
Must have skills : Microsoft Fabric
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Data Engineer, your typical day involves designing, developing, and maintaining comprehensive data solutions that support the generation, collection, and processing of data. You will be responsible for creating efficient data pipelines that facilitate smooth data flow and ensure the integrity and quality of data throughout its lifecycle. Your role includes implementing extract, transform, and load processes to enable seamless migration and deployment of data across various systems, contributing to the overall data infrastructure and operational efficiency within the organization.
Key Responsibilities:
1. Function as the Junior Data Architect for a small, simple project/proposal or as a team lead for small/medium sized project
2. Discuss specific data architecture and data related issues with data architect/team (in area of expertise)
3. Analyze and assess the impact of the requirements on the data and its lifecycle
4. Lead Big data architecture and design of small implementation of Lambda architecture
5. Breadth of experience in various client scenarios and situations
6. Thought leadership and innovation
7. Experience in creation of new data assets & offerings
8. Experience in handling OLTP and OLAP data workloads, PaaS and SaaS offering
Technical Experience:
1. Strong Experience working in Fabric Lakehouse and Warehouse working on Shortcuts and Copilots.
2. Good to have exposure or experience in Data science and Real time analytics .
3. Strong experience in Azure is preferred with hands-on experience in two or more of these skills : Azure Synapse Analytics, Azure Databricks with PySpark / Scala / SparkSQL, Purview /Unity catalog .
4. Experience in one or more Real-time/Streaming technologies including: Azure Stream Analytics, Azure Data Explorer, Azure Time Series Insights, etc.
5. Candidate should have deep knowledge in Python, LLM & Open AI Foundry
6. Github Copilot experience is an added advantage
7. Candidate must have 3-7 years of IT experience and around 1-3 years of extensive Big data experience
9. Experience working in medium to large Analytics projects
10. Experience in using the required best practices and collaborate with Data Architect as required.
Professional Experience:
1. Team player
2. Should have excellent client communication skills
3. Should have good analytical and problem-solving skills
Educational Qualification:
1. Must have: BE/Btech/MCA
2. Good to have: ME/MTech
Hyderabad
Equal Employment Opportunity Statement for Australia and New Zealand
At Accenture, we recognise that our people are multi-dimensional, and we create a work environment where all people feel like they can bring their authentic selves to work, every day.
Our unwavering commitment to inclusion and diversity unleashes innovation and creates a culture where everyone feels they have equal opportunity. Our range of progressive policies support flexibility in ‘where’, ‘when’ and ‘how’ our people work to ensure that Accenture is an organisation where you can strive for more, achieve great things and maintain the balance and wellbeing you need.
We encourage applications from all people, and we are committed to removing barriers to the recruitment process and employee lifecycle. All employment decisions shall be made without regard to age, disability status, ethnicity, gender, gender identity or expression, religion or sexual orientation and we do not tolerate discrimination. If you require any accommodations or adjustments for interviews and/or at work, please reach out to exectalent@accenture.com or contact us at +61 2 9005 5000 (Australia) or +64 44666056 (New Zealand).
To ensure our workplace is inclusive and diverse we are setting bold goals and taking comprehensive action. To achieve these goals, we collect information that allows us to track the effectiveness of our Inclusion and Diversity programs. Learn how Accenture protects your personal data and know your rights in relation to your personal data. Read more about our Privacy Statement.
We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.
We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.
At Accenture, we see well-being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best Workplaces™.
Join Accenture to work at the heart of change. Visit us at www.accenture.com.