Position Summary

Strategy & Analytics

AI & Data

In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment.

The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets.

AI & Data will work with our clients to:

- Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms
- Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions
- Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements


Azure Databricks Data Engineer (3 to 6)

Job Title: Consultant

Job Summary: As a Azure Databricks Data engineer, you will lead and implement advanced data analytics and engineering solutions using Databricks on Azure. This role requires a deep understanding of big data technologies, cloud services, and data architecture strategies. You will be instrumental in transforming data into actionable insights that drive business decisions.

Key Responsibilities:

1.    Design and implement scalable, high-performance data solutions using Databricks on Azure platform

2.    Collaborate with cross-functional teams to integrate big data solutions with existing IT infrastructure.

3.    Develop and optimize data pipelines, architectures, and data sets.

4.    Perform data modeling, data validation, and ensure data accuracy and reliability.

5.    Implement machine learning algorithms and data processing workflows.

6.    Provide expertise in data storage solutions and manage large-scale data ingestion and transformation.

7.    Implement CI/CD based application development methodology using tools like Azure DevOps/Jenkins/TFS/power shell etc.

8.    Ensure compliance with data security and privacy policies.

9.    Mentor junior team members and lead project segments.

Qualifications:

  • Bachelor’s degree in Computer Science, Engineering, or related field.
  • 5-8 years of experience in data engineering with a proven track record in using Databricks on Azure
  • Strong knowledge of Python, SQL, PySpark and Scala (optional)
  • Experience with cloud services such as cloud Databases, storage accounts ADLS Gen2, Azure Key vault, Cosmos DB, Azure Data factory, Azure Synapse is plus
  • Experience in building metadata driven ingestion and DQ framework using PySpark
  • Strong understanding of Lakehouse, Apache Spark, Delta Lake, and other big data technologies.
  • Experience working with data toolsets, including data warehouse, data marts, data lake, 3NF, and dimensional model
  • Experience in building pipelines using Delta live tables, autoloader, Databricks workflows for orchestration.  Experience with Apache airflow will be plus.
  • Experience with Databricks Unity catalog is plus.
  • Experience in implementing fine grained access control using Databricks Unity catalog features is plus
  • Experience in performance optimization in Databricks/Apache spark
  • Demonstrated ability to work collaboratively in a team environment.
  • Excellent problem-solving and analytical skills.

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Benefits

At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you.
Our people and culture

Our diverse, equitable, and inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our client most complex challenges. This makes Deloitte one of the most rewarding places to work. Learn more about our inclusive culture.
Our purpose

Deloitte’s purpose is to make an impact that matters for our clients, our people, and in our communities. We are creating trust and confidence in a more equitable society. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. We are focusing our collective efforts to advance sustainability, equity, and trust that come to life through our core commitments. Learn more about Deloitte's purpose, commitments, and impact.
Professional development

From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.

Requisition code: 201330