27 days ago
Bengaluru, IndiaStaff+
Responsibilities
- Translate stakeholder and business requirements into scalable data architecture strategies and cloud solutions.
- Design and implement secure, high-performing Databricks lakehouse architectures and cloud data platforms.
- Modernize legacy data systems and migrate them to cloud-based architectures with minimal disruption.
- Design and implement data pipelines, transformations, integrations, ETL processes, and streaming solutions.
- Implement data governance, quality controls, privacy, compliance, security, encryption, access control, and data masking practices.
- Optimize data platforms for performance, scalability, troubleshooting, and cost efficiency.
- Provide architecture guidance and mentorship to junior team members.
- Act as a data architecture and cloud technology subject matter expert for stakeholders and senior management.
- Lead and coordinate medium- to large-scale RFP responses and develop end-to-end big-data and analytics technical solutions.
- Prepare and present technical solutions to clients and groom team members in pre-sales activities.
Requirements
- Bachelor’s degree in Business Analytics, Computer Science, or Statistics, or a Master’s degree in Data Science.
- In-depth experience designing and implementing scalable, secure, high-performing cloud data lakehouse architectures using Databricks.
- Proficiency with AWS, Microsoft Azure, or Google Cloud Platform and related data services.
- Expertise in data modernization and migration of legacy systems to cloud architectures.
- Strong understanding of ETL, data pipelines, data integration, and data streaming using Python, Kafka, PySpark, dbt, cloud ETL services, and SQL/PLSQL.
- Familiarity with relational and non-relational databases, data lakes, and data warehouses.
- Strong hands-on data modeling experience using ERWIN.
- Knowledge of data governance, data quality, data lineage, privacy, compliance, and data security practices.
- Proficiency in Python, Java, or Scala, plus scripting experience with SQL or Shell scripting.
- Excellent communication and collaboration skills with stakeholders, business users, and technical teams.
- Ability to lead RFPs, develop technical solutions, prepare presentations and documents, and present to clients.
- At least one Databricks certification at the Associate or Professional level is mandatory.
- Hybrid-cloud domain exposure and end-to-end data architecture experience are preferred.
- Proficient English language skills at C2 level are required.
Benefits
- Regular employment with hybrid work arrangement in India and flexible working hours.
- Hands-on experience, mentorship, and learning opportunities supporting career development.
- Opportunity to lead AI-powered enterprise transformation and solve real-world business challenges.
- Equal opportunity work environment focused on integrity, inclusion, respect, client focus, and innovation.
Tech Stack
Apache KafkaApache SparkAWSAzureDatabricksdbtGoogle BigQueryGoogle Cloud PlatformJavaOracle DatabasePythonScalaSQL
Categories
Data Engineering
About Genpact
Genpact is a global professional services and technology firm that runs and transforms mission-critical operations for large enterprises through consulting, managed services, and AI- and analytics-driven platforms. It serves industries such as banking, insurance, healthcare, and manufacturing/supply chain, modernizing finance, risk, customer service, and back-office processes. Headquartered in New York and listed on the NYSE (G), Genpact originated within GE before becoming an independent public company.