Apply now »

Job Title:  Consultant | Backend Developer - Web | Hyderabad | Operations, Industry & Domain Solutions | Agri So

Technology & Transformation - OIDS – Consultant/Sr.Consultant – Data Engineer - Hyderabad 

 

• Location: Hyderabad 

 

• Entity: Deloitte Touche Tohmatsu India LLP  

 

 

The team 

Deloitte’s Technology & Transformation practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact-driven decision-making and generate an insight-driven advantage. Our practice addresses the continuum of opportunities in business intelligence & visualization, data management, performance management and next-generation analytics and technologies, including big data, cloud, cognitive and machine learning.        

 

Data Engineer 

Key Responsibilities: 

 

  • Design, develop, and maintain scalable data pipelines to support enterprise data integration, processing, and analytics requirements. 
  • Build and optimize ETL/ELT workflows to extract, transform, and load data from diverse source systems into data platforms. 
  • Develop data solutions using SQL and Python for data transformation, cleansing, automation, and reporting. 
  • Design and implement data models, schemas, and structures to support analytical and operational workloads. 
  • Develop and manage data warehouses, data lakes, and lakehouse architectures to enable efficient data storage and retrieval. 
  • Integrate data from multiple sources using APIs, event-driven architectures, and third-party data integration tools. 
  • Build and support batch and real-time streaming data processing solutions for timely and accurate data delivery. 
  • Ensure data quality, validation, and integrity through automated monitoring, testing, and governance frameworks. 
  • Leverage cloud data services across Azure, AWS, or GCP to build scalable, secure, and cost-effective data solutions. 
  • Implement and optimize Big Data technologies such as Apache Spark for large-scale data processing and analytics. 
  • Manage and maintain SQL and NoSQL databases, ensuring availability, performance, and scalability. 
  • Monitor, troubleshoot, and optimize data platform performance, storage utilization, and query efficiency. 
  • Establish and enforce data governance, security, compliance, and access control policies across data ecosystems. 
  • Collaborate with business stakeholders, architects, and engineering teams to translate data requirements into technical solutions. 
  • Support data modernization initiatives and drive continuous improvements in data architecture, reliability, and operational excellence. 

 

 

Required Skills: 

 

  • Data Engineering: Data Pipeline Development, ETL/ELT, SQL, Python, and Data Integration. 
  • Data Architecture: Data Modelling, Data Warehousing, Data Lake, and Lakehouse Architecture. 
  • Data Processing: Batch Processing, Streaming Data Processing, and Big Data Technologies (Apache Spark). 
  • Integration Technologies: API Integration and Event-Driven Data Architectures. 
  • Database Technologies: Database Management using SQL and NoSQL Databases. 

 

Qualification: 

 

Bachelor's degree in computer science, Information Technology, Engineering, or related discipline. 

Location and Way of Working 

 

Base location: Hyderabad. 

Work from office. 

Apply now »