Deloitte hiring Data Engineer – Senior Analyst
Company: Deloitte
Qualifications: BE/BTech/BIS/MBA
Experience Needed: 2-5 years
Location: Hyderabad
What Will You Do:
Outcome-Driven Accountability
· Collaborate with business and IT leaders to develop and refine ideas for integrating predictive and prescriptive analytics within business processes, ensuring measurable customer and business outcomes.
· Decompose complex business problems into manageable components, facilitating the use of multiple analytic modeling methods for holistic and valuable solutions.
· Develop and refine prototypes and proofs of concepts, presenting results to business and IT leaders, and demonstrating the impact on customer needs and business outcomes.
Technical Leadership and Advocacy
· Engage in data analysis, generating and testing hypotheses, preparing and analyzing historical data, identifying patterns, and applying statistical methods to formulate solutions that deliver high-quality outcomes.
· Develop project plans, including resource needs and task dependencies, to meet project deliverables with a focus on incremental and iterative delivery.
Engineering Craftsmanship
· Participate in defining project scope, objectives, and quality controls for new projects, ensuring alignment with customer-centric engineering principles.
· Present and communicate project deliverable results, emphasizing the value delivered to customers and the business.
Customer-Centric Engineering
· Assist in recruiting and mentoring team members, fostering a culture of engineering craftsmanship and continuous learning.
Incremental and Iterative Delivery
· Stay abreast of changes in technology, leading new technology evaluations for predictive and statistical analytics, and advocating for innovative, lean, and feasible solutions.
Education:
· Bachelor’s degree in Computer Science or Business Information Systems or MCA or equivalent degree.
Qualifications:
· 2 to 5 years Advanced Level of experience in Azure Data engineering
· Expertise in Development, deployment and monitoring ADF pipelines (using visual studio and browsers)
· Expertise in Azure databricks internal programming using (PySpark, SparkR and SparkSQL) or Amazon EMR (Elastic MapReduce).
· Expertise in managing azure storage (Azure Datalake Gen2, Azure Blob Storage, Azure SQL database) or Azure Blob Storage, Azure Data Lake Storage, Azure Synapse Analytics, Azure Data Factory
· Advanced programming skills in Python, R and SQL (SQL for HANA, MS SQL)
· Hands on experience in Visualization tools (Tableau / PowerBI)
· Hands on experience in Data science studios like (Dataiku, Azure ML studio, Amazon SageMaker)
