Sr. Data Engineer, Analytics Engineering

Morningstar Credit Ratings, LLC; Mumbai; Hybrid; INR 1,200,000 - 1,800,000; Full time

Job summary

Morningstar India is seeking a Sr. Data Engineer, Analytics Engineering, to build and optimize data pipelines ingesting enterprise data and PitchBook data for analytics.

You will model data, implement ETL/ELT logic, and ensure data quality and governance while supporting stakeholders across multiple functions. You will work with Python, Airflow, Kafka, and Snowflake within a hybrid environment, shaping data products and insights for business users.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field.
• 5+ years of data engineering experience with pipelines, data modeling, and architecture.
• 5+ years of advanced SQL experience with large datasets and automated reporting.
• 3+ years of Python experience for data pipelines, scripting, and data manipulation.
• Expertise in ETL/ELT processes and pipelines; familiarity with Airflow and distributed messaging like Kafka.
• Experience with data warehousing and cloud platforms (e.g., Snowflake); data governance and quality practices.

Responsibilities

• Design, develop, and maintain data pipelines ingesting data from enterprise sources and PitchBook Platform.
• Construct and curate data models for analytics and reporting; implement business logic and standard calculations.
• Govern data, observe and document processes; enable data access via data products on data warehouse/data lake (Snowflake).
• collaborate with teams across Sales, Marketing, Finance, Product to deliver timely insights.
• Contribute to QA standards and best practices; support enterprise technology and product engineering initiatives.

Skills

Data engineering

Advanced SQL

Python

ETL/ELT pipelines

Data modeling

Airflow

Kafka

Snowflake

Data governance

Communication

Education

Bachelor's degree in related field (CompSci/Engineering)

Tools

Airflow

Kafka

Snowflake

SQLMesh

Job description

Role: Sr. Data Engineer, Analytics Engineering

Location: Vashi, Navi Mumbai (4 days working from office)

Work Timings: Office work from 12:00pm to 5:00pm and then remote 7:30pm to 10:00pm

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.

PitchBook Data, Inc is a global independent investment research and financial data company. Here, you'll help uncover what's hidden, simplify what's complex, and create insights that empower investor success.

Morningstar Development Program Morningstar is strongly committed to creating and preserving equal opportunity for all employees and applicants. We make all employment decisions—including recruitment, hiring, compensation, training, promotion, transfer, discipline, termination, and other personnel matters—without regard to race, color, ancestry, religion, sex, national origin, age, disability, protected veteran status, marital status, sexual orientation, genetic information, citizenship, gender identity and expression, parental status, or other legally protected characteristics or conduct.