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Revantage

Sr. Associate - Data Engineer

LocationBengaluru
Work modehybrid
Typefull-time
SenioritySenior
Experience7+ yrs
DepartmentEngineering
Company size1,001–5,000 people
PostedOct 5, 2026 · 1w ago
Verified live1h ago
At a glanceSummarised by Seekless from the posting.
Must have18
7+ years professional experience as a data engineer
At least 4 years utilizing cloud technologies
Proven experience working with Databricks either in Azure or AWS
Strong experience with the Microsoft Azure Data Stack (Databricks, Data Lake Gen2, ADF)
Expertise building ETL and data pipelines on Databricks using Python and SQL on Azure
Strong SQL skills and proficiency in Python, Scala, Java
Familiarity with big data technologies such as Hadoop, Spark, or Kafka
Proven experience with unit testing and applying appropriate testing methodologies
Demonstrable experience with CICD, including release and test automation
Strong understanding of data modeling, data warehousing, and OLAP concepts
Excellent technical documentation skills
High level of attention to detail
Strong analytical and problem-solving skills
Excellent verbal and written communication skills
Ability to adapt to rapidly changing environments and learn new technologies quickly
Commitment to delivering high-quality solutions that meet customer needs
Strong organizational skills with the ability to manage multiple priorities
Bachelor's degree in computer science or equivalent work experience
Nice to have9
Experience with data visualization tools such as Tableau, Power BI, or Looker
Experience in event driven architectures (with Snowflake or other analytics platforms)
Knowledge of full stack technology concepts from hardware, software platforms to UI layers
Strong experience with Object oriented design and modelling
Experience with visual modelling tools including UML
Experience with appropriate organization complexity
Experience in Real Estate
Relevant industry certifications such as Microsoft Certified: Azure Data Engineer Associate, AWS Certified Data Analytics or Google Professional Data Engineer
Demonstrated commitment to continuous learning and professional development
Eligibility1
EEO Statement - equal opportunity employer
Skills
Databricks
Azure
AWS
Data Lake Gen2
ADF
Python
SQL
Scala
Java
Hadoop
Spark
Kafka
Tableau
Power BI
Looker
Snowflake
CICD
UML
COMPANY OVERVIEW
Revantage is a global corporate services leader proudly serving Blackstone portfolio companies and investments. At Revantage, providing best in class capabilities is at the forefront of our global reach and this enables our partners and partners and portfolio companies to thrive by anticipating their needs. To help us to continue to build these best-in-class capabilities, we are looking for an experienced Data Engineer.
JOB SUMMARY
The primary responsibility of the Data Engineer is to design, develop, implement, and support core systems that enable the acquisition, curation, modeling, and consumption of data for data integration, analytics, and data science. This ensures seamless flow, availability, and reliability of data across systems. This role requires a passionate, committed, and organized individual who is a fast learner, adaptable, and open to new approaches in technology solutions.
ESSENTIAL JOB FUNCTIONS
The primary responsibilities of this position are:
· Development of high-quality code for the core data stack including data integration, data warehousing, data analytics and reporting.
· Design and implement data models and architectures to support analytics and reporting needs.
· Develop and optimize robust Extract, Transform, Load (ETL) processes for the efficient acquisition, transformation, and integration of data from various sources.
· Build data pipelines using both batch and streaming paradigms
· Implement data quality and governance processes to ensure accuracy, consistency, and security.
· Work closely with teams and stakeholders to understand requirements and deliver solutions.
· Ensure code, configuration and other technology artifacts are delivered in a timely manner.
· Monitor and troubleshoot data workflows to ensure optimal performance and reliability.
· Maintain comprehensive documentation of data processes, architectures, and workflows.
TECHNICAL SKILLS AND EXPERIENCE
Most important:
· 7+ years professional experience as a data engineer, with at least 4 utilizing cloud technologies.
· Proven experience working with Databricks either in Azure or AWS.
· Strong experience with the Microsoft Azure Data Stack (Databricks, Data Lake Gen2, ADF etc.
· Expertise building ETL and data pipelines on Databricks using data engineering languages Python and SQL on Azure.
· Strong SQL skills and proficiency in programming languages such as Python, Scala, Java.
· Familiarity with big data technologies such as Hadoop, Spark, or Kafka.
· Proven experience with unit testing and applying appropriate testing methodologies.
· Demonstrable experience with CICD, including release and test automation tools and processes.
· Strong understanding of data modeling, data warehousing, and OLAP concepts.
· Experience with data visualization tools such as Tableau, Power BI, or Looker is a plus.
· Excellent technical documentation skills.
Desirable, but not required:
· Experience in event driven architectures (with Snowflake or other analytics platforms)
· Knowledge of full stack technology concepts from hardware, software platforms to UI layers
· Strong experience with Object oriented design and modelling
· Experience with visual modelling tools including UML
NONTECHNICAL SKILLS
Most important:
•
High level of attention to detail, ensuring accuracy and quality in all work outputs.
•
Strong analytical and problem-solving skills with the ability to think critically and troubleshooting complex issues.
· Excellent verbal and written communication skills, capable of conveying technical concepts to non-technical stakeholders.
· Ability to adapt to rapidly changing environments and learn new technologies quickly.
· Commitment to delivering high-quality solutions that meet customer needs and expectations.
· Strong organizational skills with the ability to manage multiple priorities and projects simultaneously.
Desirable, but not required:
•
Experience with appropriate organization complexity
•
Experience in Real Estate
EDUCATION
•
Bachelor’s degree in computer science or equivalent work experience.
•
Relevant industry certifications such as Microsoft Certified: Azure Data Engineer Associate, AWS Certified Data Analytics or Google Professional Data Engineer.
•
Demonstrated commitment to continuous learning and professional development through courses, workshops, or online platforms such as Coursera, Udemy, Learning.
JOIN US
If you are a passionate and experienced Data Engineer looking to make a significant impact in a dynamic environment, we invite you to apply for the Data Engineer position at Revantage.
Legal
Job Applicant Privacy Notice
EEO Statement
The Company is an equal opportunity employer. In accordance with applicable law, we prohibit discrimination against any applicant, employee, or other covered person based on any legally recognized basis, including, but not limited to: veteran status, uniformed servicemember status, race, color, caste, immigration status, religion, religious creed (including religious dress and grooming practices), sex, gender, gender expression, gender identity, marital status, sexual orientation, pregnancy (including childbirth, lactation or related medical conditions), age, national origin or ancestry, citizenship, physical or mental disability, genetic information (including testing and characteristics), protected leave status, domestic violence victim status, or any other consideration protected by federal, state or local law. We are committed to providing reasonable accommodations, if you need an accommodation to complete the application process, please email [email protected]
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