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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data acquisition, curation, and publishing for analytical and operational uses, with a strong focus on data governance, pipeline development, and integration of big data technologies. Proficient in translating business analytics requirements into actionable technical tasks while ensuring data quality and accessibility.
Highest-signal resume keywords
Data Pipeline DevelopmentSQL QueriesPython ProgrammingData GovernanceAWS S3
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data MappingNatural Language ProcessingStatistical ComputationData Validation TechniquesData ModelsData FlowsDimensional DataData FeedsDashboardsData Science Research
Soft Skills
Project ManagementConsultationCollaborationCommunication
Tools & Technologies
SnowflakeDBTInformaticaPower BIGitHubJenkins
Industry Keywords
Big Data TechnologiesRelational DatabasesNon-Relational DatabasesCloud EnvironmentsData Security
Tech Stack
Tools & technologiesAWSCloudInformaticaJenkinsPythonSnowflakeSQL
About the role
Key responsibilities & impact- Acquire, curate, and publish data on premises and in the cloud for analytical or operational uses
- Ensure data is ready to use and creates a single version of truth across data consumers
- Translate business analytics requests and requirements into design, development, testing, deployment, and production maintenance tasks
- Work with big data technologies, relational and non-relational databases, cloud environments, programming languages, and reporting tools
- Consult on intermediate-complexity data projects and lead design, development, and implementation of data products
- Apply code management, integration, architectural, and data governance guidelines
- Produce data building blocks, data models, and data flows for dimensional data, reporting, data feeds, dashboards, and data science research
- Create business-user access methods to structured and unstructured data
- Apply data mapping, natural language processing, transformation, AI, statistical computation, and data validation techniques
- Translate business data stories into technical work breakdowns and estimates
- Develop and maintain scalable streaming and batch data pipelines
- Build API integrations to support increasing data volume and complexity
- Prepare and cleanse data for downstream reporting and AI/ML tools
- Apply data governance concepts
- Execute mid-size projects and large tasks within timelines
- Develop data project plans and execute them with some supervision
- Perform other duties as assigned
Requirements
What you’ll need- 5 to 6 years relevant experience
- Handling data pipelines
- Data security
- SQL queries
- Python
- Snowflake
- DBT
- Informatica
- Power BI
- GitHub
- Jenkins
- AWS S3
- Location: Pune or Hyderabad
Benefits
Comp & perks- Competitive salary and performance-based bonuses
- Comprehensive benefits package
- Career development and training opportunities
- Flexible work arrangements (remote and/or office-based)
- Dynamic and inclusive work culture within a globally renowned group
- Private Health Insurance
- Pension Plan
- Paid Time Off
- Training & Development