Mumbai Maharashtra Senior warehouse Jobs – 131 Open Jobs Today

Senior Data Engineer
Marcura —Mumbai, Maharashtra
- Full-time
- Hybrid work
- Computer Science
- SQL
- Bachelor's degree
Quick apply
Manager Costing
Sunshield Chemicals Ltd. —Chembur, Mumbai, Maharashtra
- ₹10,98,948.86 - ₹14,74,485.85 a year
- Full-time
- Microsoft Excel
- Oracle
- ERP systems
- Health insurance
- Flexible schedule
Quick apply
19h
Supply Planner
Solenis —Mumbai, Maharashtra
- Full-time
- Microsoft Powerpoint
- Microsoft Excel
- Inventory management
Sr Specialist, Data Engineering
Colgate-Palmolive —Mumbai, Maharashtra
- Computer Science
- DevOps
- Master's degree
Retail Operation & Sales Specialist
Sangam Dresses Pvt Ltd —Dadar, Mumbai, Maharashtra
- Up to ₹7,50,000 a year
- Full-time
- Microsoft Excel
- Customer service
- Merchandising
- Paid time off
- Paid sick time
Quick apply
8d
Senior Video Editor
Indinom Foods Private Limited —Andheri West, Mumbai, Maharashtra
- ₹24,525.92 - ₹67,511.28 a month
- Full-time
- Travel
- In-person
Quick apply
3d
Operations Executive
Noatum HOLDINGS —Mumbai, Maharashtra
- Full-time
- English
- Bachelor's degree
- Communication skills
Sr. Data Engineer
General Mills —Mumbai, Maharashtra
- Azure
- SQL
- Analysis skills
8d
Sr. Solutions Architect, Enterprise Applications - SAP
AWS India - Maharashtra —Mumbai, Maharashtra
- Full-time
- Customer service
- Public speaking
- AWS
Lead II - Enterprise Solutions
UST —Mumbai, Maharashtra
- Azure
- DevOps
- ERP systems
Quick apply
Process Consultant SCM
Endress+Hauser InfoServe India —Mumbai, Maharashtra
- Full-time
- Microsoft Outlook
- Salesforce
- English
Business Analyst / Functional Consultant
Avati Consulting Solutions —Mumbai, Maharashtra
- Finance
- Master's degree
- Project management
Sr.Executive - Buying
Wink Lifestyles Pvt Ltd —Malad East, Mumbai, Maharashtra
- Up to ₹3,00,000 a month
- Full-time
- In-person
- Negotiation
Quick apply
1d
D&T Manager – Data Engineering
General Mills —Powai, Mumbai, Maharashtra
- Hybrid work
- Project management
- Agile
- AI
D&T Manager - Data Engineering
General Mills —Powai, Mumbai, Maharashtra
- Hybrid work
- Project management
- Agile
- AI
Senior Data Engineer
Generali Central Insurance —Mumbai, Maharashtra
- Full-time
- Computer Science
- Master's degree
- SQL
- Health insurance
- Paid time off
Quick apply
IN_Senior Associate_SAP MM_SAP_Advisory_Mumbai
PwC —Airoli, Navi Mumbai, Maharashtra
- Full-time
- Engineering
- Master's degree
- Bachelor's degree
DA Centre Supervisor
Noatum HOLDINGS —Mumbai, Maharashtra
- Full-time
- Management
- English
- Finance
Analytics Solution Associate
JPMorganChase —Mumbai, Maharashtra
- Full-time
- SQL
- AWS
- Analysis skills
Senior Purchase Executive
SHUBH VENTURES —Mulund West, Mumbai, Maharashtra
- ₹20,000 - ₹35,000 a month
- Full-time
- Microsoft Excel
- Bachelor's degree
- In-person
- Cell phone reimbursement
Quick apply
2d

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Senior Data Engineer

Marcura -
Mumbai, Maharashtra

Quick apply

Job details

Full-time

Qualifications

BCS
CI/CD
Power BI
Computer Science
Git
SQL
RBAC
Bachelor's degree
Continuous integration
Macros
B2B
GitHub
Apache
Data science
Redshift
AI
Communication skills
Data warehouse
Analytics

Full job description

Marcura's data team is an AI-first data engineering organisation with significant ownership and opportunity to drive impact across the organisation and for our customers.

We work across finance, commerial, and engineering to make sure everyone has access to accurate, timely and complete data within the constraints of their role.

The data team own the data pipelines, modelling and warehousing required to support our stakeholders in the tools they use, be it AI models, dashboards, spreadsheets, or CRM tools.

We are looking for a data engineer to own and devloping the data pipelines and core data models for Marcura. If you're passionate about working as an AI-first data engineer and are eager to create solutions with significant impact, we'd love to hear from you.

Job Responsibilities

1. Model Development: Build and maintain dbt models in a complex multi-product data environment.

2. Source System Integration: Integrate new source systems into the warehouse using Fivetran or Apache Airflow. Define tests, manage source freshness, and coordinate with upstream engineering teams on schema changes and breakages.

3. Data quality, testing, and reliability: Write dbt tests on the right grains. Set up monitoring and alerting on critical models so issues are caught before stakeholders notice. Own incident response for owned models.

4. BigQuery Performance and Cost Optimisation: Keep warehouse cost and query performance under control. Use partitioning, clustering, and incremental materialisations where appropriate. Investigate and refactor slow or expensive queries. Make conscious build-versus-rebuild trade-offs for incremental models.

5. PII, RBAC, and Compliance: Implement PII hashing. Support the role-based access control work for both internal users and external customer-facing views. Ensure new models comply with the data governance and compliance standards expected at Marcura.

6. End-user access: Make sure modelled data lands in BI tools, CRMs and MCPs servers in a usable shape. Partner with the tool owners on metric definitions, dimension/measure design, and dashboard reliability. Syncing model changes downstream is part of the job.

7. Stakeholder Partnership: Work directly with Commercial, Customer Success, Finance, Compliance, and Product teams to understand what they need from the data platform. Translate fuzzy business questions into concrete datasets and metrics. Push back when a request is the wrong shape; commit fully when it is the right shape.

8. AI-Augmented Engineering: Use AI tooling (Claude Code or Codex and Github Actions) as a daily part of the engineering workflow — for code generation, code review, model documentation, and debugging. Help raise the AI fluency of the wider Data team and contribute reusable agent skills.

9. Data dictionary: Document every model, source, and macro you own. Keep the dbt dictionary clean and searchable so other engineers and analysts can self-serve. Write commit messages, PR descriptions, and incident post-mortems that explain the why, not just the what.

10. Operational Reliability and On-Call: Share responsibility for the platform being up and trusted. Respond to data incidents, take part in the on-call rotation as it evolves, and contribute to runbooks and post-mortems.

Requirements

- Bachelor degree in Computer Science, Engineering, Mathematics, Data Science, or related discipline.
- 3 to 5 years experience in a hands-on data engineering or analytics engineering role, ideally in a B2B SaaS or B2B data product environment.
- Demonstrated experience shipping production dbt models on a cloud data warehouse (BigQuery, Snowflake, Redshift, or similar).
- Track record of owning data pipelines end-to-end — from source ingestion through transformations to BI/consumption layer — and partnering directly with non-technical stakeholders to deliver useful datasets.
- You have spent the past six months using LLMs to write code and know how to direct an AI agent to get work done efficiently, and what work requires your judgement

Skills and Knowledge

- Advanced SQL and dimensional modelling skills (Kimball-style star schemas).
- Strong hands-on dbt experience: tests, documentation, macros, sources, snapshots, and CI workflows.
- Working knowledge of BigQuery (or another cloud data warehouse) including performance tuning, partitioning, clustering, and cost awareness.
- Comfortable with tools like Fivetran and Apache Airflow for orchestration, ingestion scripts, and tooling.
- Git, code review, and CI/CD discipline.
- Understanding of PII handling, data privacy, and role-based access control as applied to analytics data.
- Familiarity with at least one BI tool in the Marcura stack (PowerBI, Metabase, Lightdash) and how data models surface to end users.
- Strong written communication; able to write documentation, dbt model descriptions, and change rationales that the next engineer can read in five minutes.
- Hands on experience using Claude Code or Codex for data engineering.

Benefits

Competitive Salary and Bonus: We reward your expertise and contributions.
Inclusive Onboarding Experience: Our onboarding program is designed to set you up for success right from day one.
Marcura Wellness Zone: We value your work-life balance and well-being.
Global Opportunities: Be part of an ambitious, expanding company with a local touch.
Diverse, Supportive Work Culture: We’re committed to inclusion, diversity, and a sense of belonging for all team members.

Quick apply

Refine Your Search

senior warehouse jobs in mumbai maharashtra

Senior Data Engineer

Manager Costing

Supply Planner

Sr Specialist, Data Engineering

Retail Operation & Sales Specialist

Senior Video Editor

Operations Executive

Sr. Data Engineer

Sr. Solutions Architect, Enterprise Applications - SAP

Lead II - Enterprise Solutions

Process Consultant SCM

Business Analyst / Functional Consultant

Sr.Executive - Buying

D&T Manager – Data Engineering

D&T Manager - Data Engineering

Senior Data Engineer

IN_Senior Associate_SAP MM_SAP_Advisory_Mumbai

DA Centre Supervisor

Analytics Solution Associate

Senior Purchase Executive

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