Kondapur Hyderabad Telangana Packaging engineer Jobs – 97 Open Jobs Today

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Data Engineer - Sr Analyst

Deloitte -
Hyderabad, Telangana

Apply Now

Job details

Qualifications

CI/CD
Performance tuning
Power BI
Data modelling
Azure
Cloud architecture
Computer Science
DevOps
Spark
Tableau
SQL
AWS
Analysis skills
Bachelor's degree
Continuous integration
Scalability
Agile
Redshift
AI
Leadership
Communication skills
Python
Identity & access management
Analytics
Information Technology

Full job description

Sr. Analyst – Data Engineer – Deloitte Support Services India Private Limited

Work you’ll do:

We are seeking a seasoned Data Engineer to design, build, and operate scalable data pipelines and curated datasets that power analytics, reporting, and data products. This role requires strong hands-on data engineering, data modeling, and data architecture experience in cloud environments (preferably GCP) and Python. Collaborate with cross-functional agile team of analytics engineers, human centered designers, web developers and dev-ops engineers to launch innovative AI-driven Data and Analytics products. Experience with Azure and AWS data engineering tools is a plus

Responsibilities:

Build and maintain batch and/or streaming data pipelines to ingest, transform, and serve data for analytics and AI use cases
Enhance data collection procedures while upholding data security and privacy norms and obligations to gather most relevant data
Develop reusable Python components for data processing, automation, and orchestration.
Design and implement logical and physical data models to support BI, analytics and AI consumption.
Contribute to data architecture decisions: source-to-target design, layering (raw/curated/semantic), integration patterns, and scalability considerations.
Implement data quality checks, validation, monitoring/alerting, and production support processes.
Optimize performance and cost (query tuning, partitioning/clustering, pipeline efficiency).
Support AI-driven analytics products by enabling feature-ready datasets, metadata, lineage, and reproducible data inputs for model training/inference
Participate in code reviews, design reviews, documentation, and knowledge sharing.
Develop an understanding of the core business functions of the client, and bring innovative analytics solution ideas to support those functions

Required Technical Skills:

Must Have:

Data engineering: building production-grade ETL/ELT pipelines and managing structured datasets.
Data modeling: translating business needs into analytics-ready models; strong SQL.
Data architecture: designing end-to-end data flows, standards, and patterns for reliability and scalability.
GCP: hands-on experience with common services like BigQuery, Cloud Storage (GCS), Pub/Sub, Dataflow, Dataproc (Spark), Cloud Composer (Airflow), Cloud Functions and/or Cloud Run, Cloud Logging/Monitoring, Vertex AI, Secret Manager, IAM.
Python: strong scripting/software engineering fundamentals (testing, packaging, debugging, maintainable code).
Proven technical troubleshooting and performance tuning experience
Experience with integrating Looker, Power BI, Tableau, any other BI tools

Good to have:

Azure data engineering tools/services (e.g., Fabric, Data Factory, Databricks).
AWS data engineering tools/services (e.g., Glue, Redshift, EMR, Lambda).
Familiarity with AI engineering concepts (feature engineering, training/inference data consistency, model monitoring data needs, governance for AI/ML data).
Exposure or experience supporting AI-driven data and analytics products, such as preparing ML-ready datasets, feature pipelines, or integrating data workflows into model development/serving processes.
Familiarity with CI/CD and Infrastructure-as-Code practices for data platforms.
Experience with governance concepts (catalog/lineage, access controls, PII handling)

Soft Skills:

Excellent verbal and written communication skills, with an ability to convey complex concepts clearly and concisely.
Good at engaging business stakeholders and apt at business engagement and requirement discovery
Analytical ability to manage multiple projects and prioritize tasks into manageable work products
Can operate independently or with minimum supervision
Strong sense of ownership, urgency, and drive
High level of initiative and self-motivation

Education:

Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience

Experience:

3–5 years of hands-on experience in data engineering and analytics data delivery.
Demonstrated experience designing data models and contributing to data architecture for cloud-based platforms.
Experience supporting production pipelines (monitoring, troubleshooting, SLAs) and working in Agile delivery teams.
Prior experience partnering with data engineers, AI engineers and DevOps practitioners to operationalize data for model training and analytics products is preferred.

Location: Hyderabad

Shift Timing: Shift between 2:00 PM to 11:00 PM IST

About Deloitte

Deloitte refers to one or more of Deloitte Touche Tohmatsu Limited, a UK private company limited by guarantee (“DTTL”), its network of

member firms, and their related entities. DTTL and each of its member firms are legally separate and independent entities. DTTL (also

referred to as “Deloitte Global”) does not provide services to clients. In the United States, Deloitte refers to one or more of the US

member firms of DTTL, their related entities that. operate using the “Deloitte” name in the United States and their respective affiliates.

Certain services may not be available to attest clients under the rules and regulations of public accounting. Please see

www.deloitte.com/about to learn more about our global network of member firms.

Our purpose

Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities.

Our people and culture

Our 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 ways of thinking, ideas and perspectives, and bring more creativity and innovation to help solve our clients’ most complex challenges. This makes Deloitte one of the most rewarding places to work.

Professional development

At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India.

Benefits to help you thrive

At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you.

Recruiting tips

From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.

Requisition code: 354983

Apply Now

Refine Your Search

packaging engineer jobs in kondapur hyderabad telangana

Data Engineer - Sr Analyst

Associate - Software Engineering - BPM Technology

Automation Engineer

Sr Quality Engineer

Manager, Software Engineering - SDET -BPM Technology

Manager, Software Engineering - SDET -BPM Technology

Senior IC Packaging Engineer

Factory Manager – Biscuit Manufacturing

Software Engineer - SAP security/Authorizations first level support

Software Engineer - Microsoft Power Platform

Principal Software Engineer- GitHub India

Devops Engineer

Production Engineer

Enterprise Tech Administrator II

Executive Development Manager - AI Engineering

Senior Development Manager - AI Engineering

Senior Software Engineer-GitHub India

Windows Desktop Software Engineer (.NET Developer)

Senior Engineer I, Software Design

Senior Software Engineer

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