4+ Data governance Jobs in Pune | Data governance Job openings in Pune
Apply to 4+ Data governance Jobs in Pune on CutShort.io. Explore the latest Data governance Job opportunities across top companies like Google, Amazon & Adobe.
Review Criteria
- Strong Senior Data Engineer profile
- 4+ years of hands-on Data Engineering experience
- Must have experience owning end-to-end data architecture and complex pipelines
- Must have advanced SQL capability (complex queries, large datasets, optimization)
- Must have strong Databricks hands-on experience
- Must be able to architect solutions, troubleshoot complex data issues, and work independently
- Must have Power BI integration experience
- CTC has 80% fixed and 20% variable in their ctc structure
Preferred
- Worked on Call center data, understand nuances of data generated in call centers
- Experience implementing data governance, quality checks, or lineage frameworks
- Experience with orchestration tools (Airflow, ADF, Glue Workflows), Python, Delta Lake, Lakehouse architecture
Job Specific Criteria
- CV Attachment is mandatory
- Are you Comfortable integrating with Power BI datasets?
- We have an alternate Saturdays working. Are you comfortable to WFH on 1st and 4th Saturday?
Role & Responsibilities
We are seeking a highly experienced Senior Data Engineer with strong architectural capability, excellent optimisation skills, and deep hands-on experience in modern data platforms. The ideal candidate will have advanced SQL skills, strong expertise in Databricks, and practical experience working across cloud environments such as AWS and Azure. This role requires end-to-end ownership of complex data engineering initiatives, including architecture design, data governance implementation, and performance optimisation. You will collaborate with cross-functional teams to build scalable, secure, and high-quality data solutions.
Key Responsibilities-
- Lead the design and implementation of scalable data architectures, pipelines, and integration frameworks.
- Develop, optimise, and maintain complex SQL queries, transformations, and Databricks-based data workflows.
- Architect and deliver high-performance ETL/ELT processes across cloud platforms.
- Implement and enforce data governance standards, including data quality, lineage, and access control.
- Partner with analytics, BI (Power BI), and business teams to enable reliable, governed, and high-value data delivery.
- Optimise large-scale data processing, ensuring efficiency, reliability, and cost-effectiveness.
- Monitor, troubleshoot, and continuously improve data pipelines and platform performance.
- Mentor junior engineers and contribute to engineering best practices, standards, and documentation.
Ideal Candidate
- Proven industry experience as a Senior Data Engineer, with ownership of high-complexity projects.
- Advanced SQL skills with experience handling large, complex datasets.
- Strong expertise with Databricks for data engineering workloads.
- Hands-on experience with major cloud platforms — AWS and Azure.
- Deep understanding of data architecture, data modelling, and optimisation techniques.
- Familiarity with BI and reporting environments such as Power BI.
- Strong analytical and problem-solving abilities with a focus on data quality and governance
- Proficiency in python or another programming language in a plus.
ROLES AND RESPONSIBILITIES:
We are seeking a highly experienced Senior Data Engineer with strong architectural capability, excellent optimisation skills, and deep hands-on experience in modern data platforms. The ideal candidate will have advanced SQL skills, strong expertise in Databricks, and practical experience working across cloud environments such as AWS and Azure. This role requires end-to-end ownership of complex data engineering initiatives, including architecture design, data governance implementation, and performance optimisation. You will collaborate with cross-functional teams to build scalable, secure, and high-quality data solutions.
Key Responsibilities-
- Lead the design and implementation of scalable data architectures, pipelines, and integration frameworks.
- Develop, optimise, and maintain complex SQL queries, transformations, and Databricks-based data workflows.
- Architect and deliver high-performance ETL/ELT processes across cloud platforms.
- Implement and enforce data governance standards, including data quality, lineage, and access control.
- Partner with analytics, BI (Power BI), and business teams to enable reliable, governed, and high-value data delivery.
- Optimise large-scale data processing, ensuring efficiency, reliability, and cost-effectiveness.
- Monitor, troubleshoot, and continuously improve data pipelines and platform performance.
- Mentor junior engineers and contribute to engineering best practices, standards, and documentation.
IDEAL CANDIDATE:
- Proven industry experience as a Senior Data Engineer, with ownership of high-complexity projects.
- Advanced SQL skills with experience handling large, complex datasets.
- Strong expertise with Databricks for data engineering workloads.
- Hands-on experience with major cloud platforms — AWS and Azure.
- Deep understanding of data architecture, data modelling, and optimisation techniques.
- Familiarity with BI and reporting environments such as Power BI.
- Strong analytical and problem-solving abilities with a focus on data quality and governance
- Proficiency in python or another programming language in a plus.
PERKS, BENEFITS AND WORK CULTURE:
Our people define our passion and our audacious, incredibly rewarding achievements. The company is one of India’s most diversified Non-banking financial companies, and among Asia’s top 10 Large workplaces. If you have the drive to get ahead, we can help find you an opportunity at any of the 500+ locations we’re present in India.
Machine Learning (ML)
Deep LearningJob Title : AI Architect
Location : Pune (On-site | 3 Days WFO)
Experience : 6+ Years
Shift : US or flexible shifts
Job Summary :
We are looking for an experienced AI Architect to design and deploy AI/ML solutions that align with business goals.
The role involves leading end-to-end architecture, model development, deployment, and integration using modern AI/ML tools and cloud platforms (AWS/Azure/GCP).
Key Responsibilities :
- Define AI strategy and identify business use cases
- Design scalable AI/ML architectures
- Collaborate on data preparation, model development & deployment
- Ensure data quality, governance, and ethical AI practices
- Integrate AI into existing systems and monitor performance
Must-Have Skills :
- Machine Learning, Deep Learning, NLP, Computer Vision
- Data Engineering, Model Deployment (CI/CD, MLOps)
- Python Programming, Cloud (AWS/Azure/GCP)
- Distributed Systems, Data Governance
- Strong communication & stakeholder collaboration
Good to Have :
- AI certifications (Azure/GCP/AWS)
- Experience in big data and analytics
Job Title : Data Engineer – Snowflake Expert
Location : Pune (Onsite)
Experience : 10+ Years
Employment Type : Contractual
Mandatory Skills : Snowflake, Advanced SQL, ETL/ELT (Snowpipe, Tasks, Streams), Data Modeling, Performance Tuning, Python, Cloud (preferably Azure), Security & Data Governance.
Job Summary :
We are seeking a seasoned Data Engineer with deep expertise in Snowflake to design, build, and maintain scalable data solutions.
The ideal candidate will have a strong background in data modeling, ETL/ELT, SQL optimization, and cloud data warehousing principles, with a passion for leveraging Snowflake to drive business insights.
Responsibilities :
- Collaborate with data teams to optimize and enhance data pipelines and models on Snowflake.
- Design and implement scalable ELT pipelines with performance and cost-efficiency in mind.
- Ensure high data quality, security, and adherence to governance frameworks.
- Conduct code reviews and align development with best practices.
Qualifications :
- Bachelor’s in Computer Science, Data Science, IT, or related field.
- Snowflake certifications (Pro/Architect) preferred.
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