Data Analytics Engineer – Assistant Manager Jobs at Deloitte India | Apply in Hyderabad Now
Job Opportunity: Data Analytics Engineer – Assistant Manager | Deloitte India | Hyderabad
Position Title: Data Analytics Engineer – CL4 (Assistant Manager)
Location: Hyderabad, Telangana, India
Requisition Code: 306372
Overview:
Deloitte India is seeking a highly skilled and motivated Data Analytics Engineer for the role of Assistant Manager (CL4) to join its innovative Product Engineering team. This role involves working on high-impact projects, applying advanced data engineering expertise, and collaborating with cross-functional teams to build and deploy analytics-driven solutions that align with Deloitte’s business and customer goals.
As part of Deloitte’s US Technology Product Engineering division, this position offers the opportunity to contribute to internal and client-facing digital solutions that enhance operational efficiency and provide measurable business outcomes.
Key Responsibilities:
1. Outcome-Focused Engineering:
- Build impactful engineering solutions by solving real-world problems through lean and efficient development practices.
- Ensure that deliverables are tied to measurable customer and business value.
2. Technical Leadership & Innovation:
- Lead and advocate for robust engineering practices including requirements analysis, component design, testing, and deployment.
- Ensure architectural feasibility and alignment with business needs while maintaining high standards of code quality.
3. Engineering Excellence:
- Own the integrity and quality of design, code, data handling, and support processes.
- Write scalable, secure, and maintainable code while meeting or exceeding quality benchmarks.
- Document technical specifications and contribute to operational readiness.
4. Customer-Centric Delivery:
- Partner with stakeholders to iteratively develop engineering solutions that solve customer pain points.
- Validate outcomes through feedback loops with customers and product teams.
5. Agile and Iterative Development:
- Embrace continuous delivery and improvement using Agile practices.
- Prioritize action and learning through experimentation and short iteration cycles.
6. Cross-Functional Collaboration:
- Work closely with product managers, UX designers, engineers, and QA to ensure cohesive and holistic solutions.
- Champion cross-disciplinary integration for optimal feasibility, usability, and business value.
7. DevSecOps and Automation:
- Utilize full automation for the SDLC pipeline including CI/CD, monitoring, and quality assurance.
- Deploy products using secure and modern DevOps principles.
8. Domain Expertise & Data Engineering:
- Quickly absorb domain-specific knowledge and translate business needs into data engineering solutions.
- Develop, test, and maintain data pipelines and cloud-based data platforms.
9. Effective Communication:
- Clearly articulate technical ideas and trade-offs to both technical and non-technical stakeholders.
- Create narratives that align solutions with business goals and inspire collaboration.
10. Engagement & Influence:
- Build strong relationships with peers, product teams, and leadership.
- Foster a culture of co-creation, innovation, and shared responsibility.
Key Qualifications:
- Education: Bachelor’s degree in Computer Science, Software Engineering, or related field. A Master’s degree (preferred) adds advantage.
- Experience: 5+ years of proven experience in:
- Data ETL and ELT tools: ADF, Alteryx, cloud-native data tools
- Experience with modern data warehousing solutions including SAP HANA, Snowflake, Azure Data Lake Storage (ADLS), Amazon Redshift, and Google BigQuery
- Cloud-native technologies: FaaS, PaaS, Microservices on Azure, AWS, or GCP
- Agile methodologies, XP, SAFe, DevSecOps, SRE practices
- Tools like ADO, GitHub, SonarQube
- AI/ML Exposure: Candidates with AI/ML and GenAI experience are preferred.
- Soft Skills: Excellent communication, empathy, and adaptability. Strong organizational skills to handle complex and evolving priorities.
The Team – US Deloitte Technology Product Engineering: Deloitte’s internal product engineering team plays a pivotal role in driving the organization’s digital innovation and transformation efforts. The team delivers scalable, outcome-based digital solutions that enable Deloitte to lead in the market. With a focus on Agile product delivery and cloud-native technologies, this team is responsible for building both internal tools and go-to-market solutions with a strong emphasis on engineering excellence.
How You Will Grow: Deloitte offers continuous learning and growth opportunities, tailored to each individual’s strengths and goals. Professionals have access to mentoring, technical training, certifications, and a broad network of leaders and innovators across the globe.
Deloitte University (DU) – Leadership Center in India: Located in Hyderabad, DU India is a world-class training center modeled after the Deloitte University in Westlake, Texas. It provides immersive learning experiences for leadership and technical skill development, symbolizing Deloitte’s commitment to professional growth.
Our Purpose: At the heart of Deloitte’s mission is the commitment to ‘make an impact that matters.’ This guiding principle is evident in the firm’s projects, partnerships, and initiatives that benefit clients, communities, and global stakeholders alike. By focusing on purpose-led innovation and socially responsible strategies, Deloitte drives sustainable progress.
Culture and Values: Deloitte fosters an inclusive work culture that values each individual’s uniqueness and promotes a broad range of viewpoints. It creates a safe, dynamic, and respectful environment where professionals can contribute meaningfully and thrive collectively.
Rewards and Benefits: Deloitte provides a comprehensive benefits package aimed at enhancing overall well-being—physically, mentally, and financially. Benefits are tailored based on role, tenure, and employment type. Employees enjoy comprehensive coverage, flexible work arrangements, and access to wellness programs.
Recruitment Support: Deloitte supports candidates at every stage of the hiring process—from resume preparation to interview success. A wide array of recruiter tips and insights is available to help applicants put their best foot forward.
Final Thoughts: If you’re passionate about data engineering, excited by cloud-native development, and driven to deliver impactful outcomes, the Data Analytics Engineer – Assistant Manager role at Deloitte India could be the next big step in your career. Join a forward-thinking, inclusive organization where innovation is a mindset and people are at the heart of everything we do.
Apply Now and Be Part of Deloitte’s Transformational Tech Journey!