Crisil
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Mumbai · On-site · 7-10 Yrs · Oct 16
Research and development · 1001 to 5000 Employees · Mumbai, India
CRISIL is a global, agile and innovative analytics company driven by its mission of making markets function better. It is majority owned by S&P Global Inc., a leading provider of transparent and independent ratings, benchmarks, analytics and data to the capital and commodity markets worldwide. CRISIL pioneered, and continues to lead the credit ratings industry in India. Today, it is also a leading provider of data, research, analytics and solutions to over 100,000 customers globally. A strong track record of growth, culture of innovation and global footprint sets the organisation apart. CRISIL businesses and delivery centers are spread across the world, including India, the US, the UK, Argentina, Poland, China, Hong Kong, Singapore and the United Arab Emirates (UAE). The driving force behind CRISIL is its 4000 young, energetic, diverse and highly talented workforce. Guided by a culture that values integrity, excellence, respect, accountability and teamwork, CRISILites get an opportunity to work with peers across countries, interact with clients across geographies and move roles across functions. It gives them the opportunity to work on leading technologies, learn new skills and collaborate with the sharpest minds in the industry. CRISIL believes in recognizing good work and winning performances, taking pride it in robust rewards and recognition program. After all, meritocracy is a way of life at the organisation. An equal opportunity employer, CRISIL provides an inclusive work environment where diversity of thought and action is valued – and encouraged. Religion, age, gender, national origin, sexual orientation, race, or colour does not affect hiring, promotion, compensation, or development opportunities. Committed to employee well-being, CRISIL offers a host of benefits including flexible work arrangements, sabbaticals, health and retirial benefits, employee assistance programs and many others. CRISIL is also certified as a Great Place to Work by the Great Place to Work India Institute. If you aspire to re-define industry standards, collaborate with the best and work to make markets function better, CRISIL has a role for you. To know more, search for current opportunities, follow us on Instagram @lifeatcrisil or simply join our Talent Community.
Hiring: Engineering
Interview experience · HR
It's disappointing and disastrous experience with the talent acquisition team. I have applied various position for the last one year, even though my profile was very much suitable for the roles I applied, I never receive
Very_easy difficulty · Mumbai · 514 reports
More interview insightsJob description
Overview
Data Engineering Manager About the Role
Responsibilities
- Designing, developing, and optimising scalable data pipelines using Databricks, Apache Spark, Delta Lake, Python, and SQL.
- Building reliable ETL and ELT processes that support analytics, reporting, benchmarking, and data product use cases.
- Contributing to the design and implementation of the Databricks Lakehouse architecture, including data modelling, data quality, performance, and scalability.
- Supporting the migration of data workloads from legacy platforms to Databricks, working with architects and engineering teams to recommend practical technical solutions.
- Implementing data governance and security controls using Databricks Unity Catalog, including access control, lineage, and environment-level governance.
- Improving the performance and cost efficiency of Databricks clusters, SQL warehouses, workloads, and serverless compute.
- Applying DevOps and DataOps practices, including CI/CD, automated deployment, version control, testing, and infrastructure as code.
- Working with tools such as Terraform, GitHub Actions, Azure DevOps, or equivalent engineering toolchains.
- Collaborating with Data Transformation, Architecture, Product, Technology, and business stakeholders to deliver high-quality data solutions.
- Supporting engineering best practice through code reviews, technical documentation, design input, and knowledge sharing.
- Helping to establish repeatable engineering patterns for data ingestion, transformation, orchestration, testing, monitoring, and release management.
Qualifications
- 7 to 10 years’ experience in data engineering, including strong hands-on experience designing and building production-grade data pipelines.
- Significant experience working with Databricks, ideally in a platform migration, modernisation, or Lakehouse implementation context.
- Deep expertise in Apache Spark, including PySpark, Spark SQL, and ideally Scala.
- Strong knowledge of Delta Lake and Lakehouse design patterns.
- Advanced proficiency in Python and SQL.
- Experience working with cloud data platforms and native cloud data services, ideally AWS.
- Practical experience implementing data governance patterns, ideally using Databricks Unity Catalog.
- Experience with infrastructure as code, particularly Terraform or similar tools.
- Good understanding of CI/CD, automated testing, deployment pipelines, and modern engineering practices.
- Knowledge of data warehousing concepts, including dimensional modelling, Kimball methodology, star schemas, and snowflake schemas.
- Experience integrating dbt or similar transformation frameworks with modern data platforms.
- Strong problem-solving skills and the ability to translate complex technical challenges into clear, practical solutions.
- Excellent communication skills, including the ability to explain technical topics to both engineering and non-technical stakeholders.
- Experience working in scaled Agile or product-led delivery environments.
- A strong focus on quality, maintainability, documentation, and engineering discipline.
Nice to have
- Databricks Certified Data Engineer Professional certification.
- Databricks Certified Lakehouse Platform Architect certification.
- Familiarity with MLOps or machine learning engineering workflows.
- Experience working within a Product Development Life Cycle.
- Experience supporting distributed teams across time zones.
- Exposure to Jobs-To-Be-Done or Human-Centred Design approaches.
- Industry experience in financial services, benchmarking, market analytics, or data analytics.
- Familiarity with scaled Agile ceremonies such as PI Planning.
- A team-oriented, proactive, analytical working style, with the ability to operate across detailed engineering work and broader platform context.
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Job application FAQ
Last updated 27 October 2026
- How do I apply for Data Engineering at Crisil?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Crisil may attach structured assessments to interview rounds after you apply.
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- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Data Engineering remote or on-site in Mumbai, Maharashtra?
- This listing is marked on_site with location Mumbai, Maharashtra. Confirm details on the job description before applying.
- What skills matter for this Data Engineering role at Crisil?
- Key skills for this role include skills listed in the job description. Upload a resume to see which requirements you already meet and which are gaps.