
Ā Key Responsibilities
- Design and implement ETL/ELT pipelines using Databricks, PySpark, and AWS Glue
- Develop and maintain scalable data architectures on AWS (S3, EMR, Lambda, Redshift, RDS)
- Perform data wrangling, cleansing, and transformation using Python and SQL
- Collaborate with data scientists to integrate Generative AI models into analytics workflows
- Build dashboards and reports to visualize insights using tools like Power BI or Tableau
- Ensure data quality, governance, and security across all data assets
- Optimize performance of data pipelines and troubleshoot bottlenecks
- Work closely with stakeholders to understand data requirements and deliver actionable insights
š§Ŗ Required Skills
Skill AreaTools & TechnologiesCloud PlatformsAWS (S3, Lambda, Glue, EMR, Redshift)Big DataDatabricks, Apache Spark, PySparkProgrammingPython, SQLData EngineeringETL/ELT, Data Lakes, Data WarehousingAnalyticsData Modeling, Visualization, BI ReportingGen AI IntegrationOpenAI, Hugging Face, LangChain (preferred)DevOps (Bonus)Git, Jenkins, Terraform, Docker
š Qualifications
- Bachelor's or Masterās degree in Computer Science, Data Science, or related field
- 3+ years of experience in data engineering or data analytics
- Hands-on experience with Databricks, PySpark, and AWS
- Familiarity with Generative AI tools and frameworks is a strong plus
- Strong problem-solving and communication skills
š Preferred Traits
- Analytical mindset with attention to detail
- Passion for data and emerging technologies
- Ability to work independently and in cross-functional teams
- Eagerness to learn and adapt in a fast-paced environment

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Ā
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Ā
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Ā
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Ā
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12 Lpa - 30 LpaĀ
Ā
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5 - 12 yearsĀ
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Ā
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- You will be having an impact on our 1.7M users every day.
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- Experience in training or mentoring team members.
Do not apply if you are not:
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- Hate drinking and smoking will have a hard time here
Ā
Ā
Job Description:
In this role, you will:
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- Ability to break complex projects into modules and propose effective solutions in view of capabilities of existing platforms and infrastructure.
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