Deloitte
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Tamil Nadu · On-site · 1-3 Yrs · Aug 22
Business consulting · 10000+ Employees · New York, US
Deloitte provides industry-leading audit and assurance, tax and legal, consulting, financial advisory, and risk advisory services to nearly 90% of the Fortune Global 500® and thousands of private companies. Our more than 412,000+ professionals deliver measurable and lasting results that help reinforce public trust in capital markets, enable clients to transform and thrive, and lead the way toward a stronger economy, a more equitable society and a sustainable world. Building on its 178-plus year history, Deloitte spans more than 150 countries and territories. Deloitte US-India Offices is part of region within the Deloitte US organization, with offices across seven cities in India — Hyderabad, Mumbai, Delhi-NCR, Bengaluru, Kolkata, Pune and Chennai.
Hiring: Engineering
What employees say
+ Very good hike and bonus. Flexible with respect to timings.
− Extended work hours is the only con.
More reviews on the company profile.
Interview experience · Technology Manager
The interview process typically includes a telephonic screening, two technical rounds, a managerial round, a CA round, and an HR discussion. The process is well-structured and evaluates technical knowledge, problem-solvi
Difficult difficulty · Bengaluru · 8,233 reports
More interview insightsJob description
Overview
We are seeking a skilled and motivated Azure Data Engineer Years of experience to join our dynamic team.
Responsibilities
- Design and Development:
- Design, develop, and deploy scalable data pipelines using Databricks (PySpark, Spark SQL), Azure Data Factory, and other Azure data services.
- Implement ETL/ELT processes to ingest, transform, and load data from various sources into data lakes and data warehouses.
- Optimize and tune data pipelines for performance and scalability.
- Data Processing:
- Write and optimize complex SQL queries for data extraction, transformation, and analysis.
- Use PySpark for large-scale data processing and analytics.
- Implement data partitioning, bucketing, and indexing strategies for efficient data retrieval.
- Data Integration:
- Integrate data from multiple sources, including structured, semi-structured, and unstructured data.
- Work with APIs, streaming data, and batch processing to ensure seamless data integration.
- Data Governance and Quality:
- Implement data governance practices to ensure data quality, consistency, and security.
- Monitor and troubleshoot data pipelines to ensure data accuracy and availability.
- Collaboration:
- Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
- Work closely with DevOps teams to deploy and monitor data pipelines in production environments.
- Documentation:
- Document data pipelines, workflows, and processes for knowledge sharing and future reference.
- Maintain up-to-date documentation on data architecture and data models.
Qualifications
- Databricks: Hands-on experience with Databricks for data processing, analytics, and Serverless SQLWH, Unity Catalog, Lakehouse, Medallion Architecture
- Azure Data Services: Proficiency in Azure Data Factory, Azure Data Lake Storage, and Azure SQL Database, Key Vault, Azure Pricing Model
- SQL: Strong expertise in writing and optimizing complex SQL queries.
- PySpark: Experience in using PySpark for data processing and transformation.
- ETL/ELT: Strong understanding of ETL/ELT processes and tools.
- Data Modeling: Knowledge of data modeling techniques and best practices.
- Data Governance: Familiarity with data governance, data quality, and data security practices.Role & responsibilities
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