Assessments of existing data components, performing POCs, and consulting to stakeholders
Propose end-to-end solutions to enterprise data problems, handling data collection, extraction, integration, cleansing, enriching and visualization
Design large data platforms to enable Data Engineers, Analysts, and Data Scientists
Provide strong exposure to different data architectures, data lake and data warehouse patterns
Define tools and technologies to develop automated data pipelines, write ETL processes, and develop dashboards and reports
Continually reassess current state for alignment with architecture goals, best practices and business needs
Perform DB modeling, decide best data storage, create data flow diagrams, and maintain related documentation
Ensure performance, reliability, reusability, resilience, scalability, security, privacy and data governance in designs
Apply or recommend best practices in architecture, coding, API integration and CI/CD pipelines
Coordinate with data scientists, analysts, and other stakeholders for data-related needs
Mentor junior practice members, lead initiatives and Data Practice Offerings
Provide thought leadership by representing the Practice/Organization on internal and external platforms
Requirements
Expertise in SQL, Python, ERD, GCP (All services, especially BigQuery, GCS, Cloud Function, Composer), DBT with active/heavy hands-on in last 3-5 years
Possess the knowledge of Modern Data Technology released in the last 2-3 years
Design and optimize conceptual and logical database models
Analyze system requirements, implement data strategies, and ensure efficiency and security
Improve system performance by conducting tests, troubleshooting, and integrating new elements
In-depth understanding of database structure principles
Expertise in implementing and maintaining data pipelines
Deep knowledge of data mining and segmentation techniques
10+ years in data modeling with 3+ years in Big data (100TB+)
Familiarity with data visualization tools
Submission requires Resume/Profile and code assessment result in SQL and Python (e.g. IKM CodeChek/TechChek)
Benefits
Medical Insurance benefits as per company policy.
Life Insurance as per company policy
15 days of paid vacation, sick leave and paid holidays as per local law
Paternity and maternity leave as per as per local law
Marriage, bereavement and graduation leaves as per company policy
Sick leave and paid holidays as per local law
Christmas and Middle year bonuses as per local law
Monthly productivity bonus as per local law
Discounts in local shops
Direct deposit of payroll.
Paid professional certifications
ATS Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.