Analytics Engineer

Celigo; Hyderabad; Hybrid; INR 1,500,000 - 2,800,000; Full time

Benefits offered by this job

Health insurance

Paid time off

Wellness days

Parental leave

Job summary

Celigo in Hyderabad, India, is seeking an Analytics Engineer to own our data logic and shape the Gold data layer. You will transform raw datasets into clean, validated tables and apply CI/CD, version control, and testing to keep our data warehouse reliable.

You will develop scalable data models with dbt/Coalesce, optimize SQL, collaborate with Data Eng and Analytics teams, and support BI catalogs for self-service insights across Product, Finance, and GTM.

Qualifications

• Degree in Computer Science, Mathematics, Statistics, or a related quantitative field.
• 3+ years of experience in Analytics Engineering, Data Engineering, or a technical Data Analyst role.
• Expert-level proficiency in SQL with focus on writing efficient, maintainable code.
• Hands-on experience with dbt / Coalesce and modern cloud data warehouses like Snowflake or BigQuery.
• Familiarity with Git, pull request workflows, and command-line interfaces.

Responsibilities

• Develop and maintain scalable data models using dbt / Coalesce to transform raw data into clean, documented, and production-ready schemas.
• Collaborate with Data Engineering and Data Analytics to ensure technical architecture supports business logic and reporting requirements.
• Implement automated testing, data documentation, and observability frameworks to ensure a single source of truth.
• Optimize SQL queries and warehouse configurations to improve performance and manage compute costs.
• Maintain version control workflows, CI/CD pipelines, and coding standards across the data team.
• Support the semantic layer and BI data catalogs to enable self-service exploration.

Skills

Data engineering best practices

Dimensional modeling

Technical communication

Education

CS/Math/Stats degree

Tools

Git

dbt

Coalesce

Snowflake

BigQuery

CI/CD pipelines

Job description

At Celigo, we believe integration should empower — not exhaust — innovation. As a modern Integration and Automation Platform (iPaaS), we’re on a mission to simplify how companies integrate, automate, and optimize processes. Powered by game-changing technology like runtime AI and prebuilt, mission‑critical integrations, Celigo is redefining how businesses connect their world.

Celigo is looking for an Analytics Engineer to serve as the definitive owner of our business logic and the primary architect of our "Gold" data layer. You will bridge the gap between raw data and executive-level insights by transforming complex datasets into clean, validated, and highly performant tables. By applying software engineering rigors—such as version control, automated testing, and CI/CD—to our workflows, you will ensure our data warehouse remains a trusted "single source of truth." Your mission is to empower the company with the reliable data to drive decisions across Product, Finance, and GTM teams.

What would you do if hired?

• Develop and maintain scalable data models using dbt / Coalesce to transform raw data into clean, documented, and production-ready schemas.
• Collaborate with Data Engineering and Data Analytics to ensure technical architecture supports business logic and reporting requirements.
• Implement automated testing, data documentation, and observability frameworks to ensure a "single source of truth."
• Optimize SQL queries and warehouse configurations to improve performance and manage compute costs.
• Maintain version control workflows, CI/CD pipelines, and coding standards across the data team.
• Support the semantic layer and BI data catalogs to enable self-service exploration.

Who are we looking for?

Skills & Abilities

• Strong belief in applying software engineering best practices (testing, versioning, peer review) to data workflows.
• Ability to design modular data models (Star Schema, Kimball) that balance flexibility with system performance.
• Proficiency in communicating technical trade-offs to both analysts and infrastructure engineers.

Education and Experience

• Degree in Computer Science, Mathematics, Statistics, or a related quantitative field.
• 3+ years of experience in Analytics Engineering, Data Engineering, or a technical Data Analyst role.
• Expert-level proficiency in SQL with a focus on writing efficient, maintainable, and readable code.
• Hands-on experience with dbt / Coalesce and modern cloud data warehouses like Snowflake or BigQuery.
• Familiarity with Git, pull request workflows, and command-line interfaces.

Nice to Have

• Experience with Python for data orchestration (e.g., Airflow) or advanced data manipulation.
• Understanding of Fintech or SaaS-specific metrics such as ARR, churn, and financial reconciliation.

Here you’ll experience

• A flexible, hybrid work culture that values autonomy, collaboration, and trust.
• A fast-paced, high-growth environment where innovation and ownership are encouraged at every level.
• Continuous learning and upskilling opportunities through internal training, mentorship, and global collaboration.
• Exceptional teammates who bring passion, purpose, and creativity to everything they do.
• A supportive, inclusive workplace that celebrates diverse ideas and perspectives.
• Comprehensive health insurance coverage for employees and dependents.
• Generous leave benefits, including paid time off, wellness days, and parental leave.
• Recognition programs and career growth opportunities designed to help you thrive.
• Modern office spaces that promote connection, collaboration, and fun.

Diversity, Equity, Inclusion, and Accessibility

As a company, one of the values we hold most dear is fostering a safe, collaborative environment to bring out the best in us, so we created our Taking a Stand Initiative. Our TAS initiative is a volunteer committee open to all Celigo employees, with representation from underrepresented voices within our company. We believe, unequivocally, that everyone deserves to be in a place where they feel welcome as they are. Learn more about Taking a Stand.

Celigo is proud to be an equal‑opportunity workplace. We are committed to equal employment opportunities regardless of race, color, ancestry, national origin, religion, creed, age, disability, sex, gender, sexual orientation, gender identity, gender expression, medical condition, genetic information, marital status, military and veteran status, or any other characteristic protected by applicable law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.