Responsibilities:
- Develop and maintain the core data pipelines, involving the creation of production-level SQL and Python code to fuel our platforms.
- Adapt and enhance data models and data schemas to align with both business and engineering requirements.
- Conduct data analysis to contribute to the enhancement of overall business performance.
- Identify and select optimal data sources for specific analytical tasks.
- Establish procedures for data mining, data modeling, and data production.
- Collaborate with internal and external partners to address challenges and ensure successful outcomes.
Basic Qualifications:
- Ability to work UK Shift Timing (11:00am – 8:00pm Local Time) Required
- Fluent in English language (verbal and written) and possessing a clear and concise communication style.
- Educational Background: Possess a Bachelor's degree in computer science, statistics, or mathematics.
- Programming Expertise: 8+ years of experience with Python, with the ability to write production-level code.
- SQL Proficiency: 8+ years of experience in SQL, with excellent skills in navigating multiple data tables and comprehending data models.
- Cloud Computing: 5+ years of hands-on experience with cloud computing services, particularly AWS (Amazon Web Services).
- Data Architecture: Proven experience in designing data architectures, including Kafka, Data Warehouses and Operational Data Stores (ODS).
- Cloud-Based Analytics: Possess a strong understanding of cloud-based analytics platforms, such as Snowflake and AWS SageMaker.
- Data Workflow Management: Ideally, possess at least 1 year of experience with data workflow management tools, with Airflow experience being a plus.
- Data Cleaning: Be skilled in data cleaning and standardization processes.
- SQL Engine: Exhibit an excellent understanding of SQL engines and the capability to perform advanced performance tuning.
Desired Characteristics:
- Self-Sufficient and proactive nature, able & comfortable "figuring things out", resorting to escalation only when after exhausting all other options
- Strong sense of urgency required
- Exceptional communication skills, both verbal and written, with a knack for explaining complex concepts in a clear & concise manner across all levels and functions
- Team members are encouraged to work collaboratively with an emphasis on results, not on hierarchy or titles.
India-Specific Benefits
- 5 LPA Medical Coverage
- Life Insurance
- Provident Fund Contributions
- Learning & Development Stipend (Over-And-Above CTC)
- Wellness Stipend (Over-And-Above CTC)
- Transportation available for female team-members with shifts starting or ending between the hours of 9:30pm and 7:00am
- Welcoming in-office environment (located within AWFIS co-working space, Amanora Mall)
- Team members are encouraged to work collaboratively with an emphasis on results, not on hierarchy or titles.
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