Navi Mumbai Maharashtra Sr. data engineer, analytics engineering Jobs – 397 Open Jobs Today

Sr. Data Engineer, Analytics Engineering
Morningstar —Navi Mumbai, Maharashtra
- Full-time
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- Computer Science
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- Bachelor's degree
Data Analytics & Engineering Specialist
Fugro —Navi Mumbai, Maharashtra
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Chemical Engineer
APChemi Pvt Ltd —CBD Belapur, Navi Mumbai, Maharashtra
- ₹10,00,000 - ₹24,00,000 a year
- Full-time
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Sr. Data Analyst, Enterprise Analytics & BI (Mumbai, Hybrid)
PulsePoint —Navi Mumbai, Maharashtra
- Full-time
- Data analysis skills
- SQL
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- Health insurance
Quick apply
Sr. Team Member - Prebid Engineering ( 82751793 )
Reliance Industries —Navi Mumbai, Maharashtra
- Analysis skills
- Bachelor's degree
- Communication skills
7d
Senior Planning Engineer
HAWA VALVES INDIA PVT LTD —Navi Mumbai, Maharashtra
- ₹50,000 - ₹2,00,000 a month
- Full-time
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
- Paid time off
- Paid sick time
Quick apply
9h
Jr Data Engineering and Intelligence
Sciative Solutions —Navi Mumbai, Maharashtra
- Computer Science
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Sr. Piping Engineer/ Piping Engineer
SATTVA EngiTech —Navi Mumbai, Maharashtra
- Email
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Design Engineer Downhole Tools WLE/Drilling Services
Weatherford —Navi Mumbai, Maharashtra
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Lead Azure Cloud Engineer
SS&C Technologies —Navi Mumbai, Maharashtra
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Python Developer (Data Engineering & AI/ML)
Automate Buddy —Navi Mumbai, Maharashtra
- Full-time
- Computer Science
- Windows
- SQL
Supply Chain Development Analyst
Maersk —Navi Mumbai, Maharashtra
- Full-time
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
Lead Data Scientist
Mastercard —Navi Mumbai, Maharashtra
- Full-time
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- Master's degree
Process Engineer
Schlumberger —Navi Mumbai, Maharashtra
- Microsoft Excel
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Senior Backend Engineer
Programming.com —Navi Mumbai, Maharashtra
- ₹3,32,027.25 - ₹16,20,665.88 a year
- Full-time
- Azure
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- In-person
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Quick apply
4d
SeniorTest Engineer
QualityKiosk Technologies —Navi Mumbai, Maharashtra
Customer Service Team Leader Integrated Supply Chain Specialized Services
Dow —Navi Mumbai, Maharashtra
- Full-time
- Data analysis skills
- Master's degree
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- Paid time off
10d
Fresher Mechanical Engineer
ICEM ENGINEERING CO PVT LTD —Thane, Maharashtra
- ₹15,000 - ₹18,000 a month
- Full-time
- Microsoft Excel
- Analysis skills
- Bachelor's degree
- Paid time off
- Cell phone reimbursement
Quick apply
Sr. .NET Azure Developer
focalworks solution pvt ltd —Navi Mumbai, Maharashtra
- From ₹25,00,000 a year
- Azure
- SQL
- JavaScript
Quick apply
2d
BI Engineer (Remote, India)
PulsePoint —Navi Mumbai, Maharashtra
- Full-time
- Remote
- Computer Science
- SQL
- Bachelor's degree
- Health insurance
Quick apply

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Sr. Data Engineer, Analytics Engineering

Morningstar -
Navi Mumbai, Maharashtra

Apply Now

Job details

Full-time

Qualifications

Power BI
Data modeling
Computer Science
Tableau
SQL
Quality assurance
Docker
Bachelor's degree
Machine learning
Marketing automation
Kafka
Communication skills
Data warehouse
Python
Analytics

Full job description

As a member of the Enterprise Data Platform team and Enterprise Technology organization within Technology & Engineering at PitchBook, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation.

We know that greatness is achieved through collaboration and diverse points of view, so we work closely with partners around the globe. As a team, we assume positive intent in each other’s words and actions, value constructive discussions and foster a respectful working environment built on integrity, growth, and business value. We invest heavily in our people, who are eager to learn and constantly improve. Join our team and grow with us!

As a Senior Data Engineer on the Enterprise Data Platform team, you will be responsible for building data pipelines to ingest various source data from enterprise technologies and PitchBook Platform data, manipulating (cleanse, dedupe, normalize) data into well-constructed data models for data analysis, implementing business logic and standard calculations, governing (supporting, observing, documenting) the data, and making the data available to end consumers in the form of PitchBook data products built on top of our data warehouse/data lake (e.g. Snowflake). You’ll work with a range of data and reporting technologies (e.g. Python, Docker, Tableau, Power BI) to build upon a strong foundation of rigor, quantitative techniques, and efficient processing. You’ll join other Engineers and Analytics professionals as part of the team that develops data pipelines and insights for our internal stakeholders across Sales, Customer Success, Marketing, Research, Data Operations, Product, Finance, and Administration.

Your team will rely on you to build your skills in data techniques and analytics to deliver accurate, timely, accessible, and secure data & insights to users. You’ll collaborate closely and effectively with internal and external stakeholders of different roles and technical backgrounds, who have varying understanding of data engineering. You’ll have the opportunity and ability to impact many different areas of analytics and operational thinking across enterprise technology and product engineering.

You will exhibit a growth mindset, be willing to solicit feedback, engage others with empathy, and help create a culture of belonging, teamwork, and purpose. If you love building data-centric solutions, strive for excellence every day, are adaptable and focused, and believe work should be fun, come join us!

Primary Job Responsibilities

Apply unified data technologies to support advanced and automated business analytics
Design, develop, document, and maintain database and reporting structures used to compile insights
Define, develop, and review extract, load, and transform (ELT) processes and data modeling solutions
Consistently evolve data processes and techniques following industry best practices
Build data models to be used for reports and dashboards used to translate business data into insights, identify and prioritize operational improvement opportunities, and measure business KPIs against objectives
Contribute to the ongoing improvement of quality assurance standards and procedures
Support the vision and values of the company through role modeling and encouraging desired behaviors
Participate in various company initiatives and projects as requested

Skills and Qualifications

Bachelor's degree in a related field (Computer Science, Engineering, etc.)
5+ years of experience in data engineering roles, including creating and maintaining data pipelines, data modeling, and data architecture
5+ years of experience in advanced SQL, including expert-level skills in querying large datasets from multiple sources and developing automated reporting
3+ years of experience in Python, with skills for diverse components of data pipelines, including scripting, data manipulation, custom extract, transform and loads, and statistical/regression analysis
Expertise in extract, transform, and load (ETL) and extract, load, transform (ELT) processes and pipelines, platforms (e.g. Airflow), and distributed messaging (e.g. Kafka)
Experience with tools that capture and control data modeling change management (e.g. SQLMesh)
Proficient in data storage solutions, data warehousing, and cloud-based data platforms (e.g. Snowflake)
Knowledge and applicable working experience establishing and ensuring data governance, data quality, and compliance standards
Exceptional problem-solving skills
Excellent communication and collaboration skills with the ability to engage with non-technical stakeholders
Experience working with enterprise technologies (CRM, ERP, Marketing Automation Platforms, Financial Systems, etc.) is a plus

Working Conditions

The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events.

Morningstar India is an equal opportunity employer

Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.

037_PitchBookDataInc PitchBook Data, Inc Legal Entity

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Refine Your Search

sr. data engineer, analytics engineering jobs in navi mumbai maharashtra

Sr. Data Engineer, Analytics Engineering

Data Analytics & Engineering Specialist

Chemical Engineer

Sr. Data Analyst, Enterprise Analytics & BI (Mumbai, Hybrid)

Sr. Team Member - Prebid Engineering ( 82751793 )

Senior Planning Engineer

Jr Data Engineering and Intelligence

Sr. Piping Engineer/ Piping Engineer

Design Engineer Downhole Tools WLE/Drilling Services

Lead Azure Cloud Engineer

Python Developer (Data Engineering & AI/ML)

Supply Chain Development Analyst

Lead Data Scientist

Process Engineer

Senior Backend Engineer

SeniorTest Engineer

Customer Service Team Leader Integrated Supply Chain Specialized Services

Fresher Mechanical Engineer

Sr. .NET Azure Developer

BI Engineer (Remote, India)

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