Key Responsibilities
Architect and implement enterprise-grade Lakehouse solutions using Databricks
Design and deliver scalable batch and real-time data pipelines using Apache Spark (PySpark/SQL)
Build ETL/ELT pipelines, incremental data loads, and metadata-driven ingestion frameworks
Implement and optimize Databricks components: Delta Lake, Delta Live Tables, Autoloader, Structured Streaming, and Workflows
Design large-scale data warehousing solutions with 3NF and dimensional modeling
Establish data governance, security, and data quality frameworks, including Unity Catalog
Lead ML lifecycle management using MLflow and drive AI use cases (RAG, AI/BI)
Manage cloud-native deployments on Microsoft Azure and integrate with enterprise systems (e.g., ServiceNow)
Drive CI/CD, DevOps practices, and performance optimization of Spark workloads
Provide technical leadership, mentor teams, and ensure successful delivery
Collaborate with stakeholders to translate business requirements into scalable solutions
Required Skills & Experience
10+ years in Data Engineering / Analytics / AI with strong delivery ownership
Deep expertise in Databricks ecosystem (Notebooks, Delta Lake, Workflows, AI/BI, Apps, Genie)
Strong hands-on experience with:
Apache Spark (performance tuning & scalability)
Python and SQL
Proven experience in:
Solution architecture and large-scale data platforms
Data warehousing and advanced data modeling
Batch and real-time processing systems
Experience with:
Azure Databricks and Azure data services
ML flow and MLOps practices
ServiceNow or enterprise integrations
Exposure to AI technologies (RAG, LLM-based solutions)
Strong stakeholder management and leadership skills
Certifications (Preferred)
Databricks certifications aligned to data engineering and AI tracks, such as:
Databricks Certified Data Engineer Associate (validates foundational ETL, Spark, and Lakehouse capabilities)
Databricks Certified Data Engineer Professional (advanced expertise in pipeline design, optimization, and governance)
Certifications in Databricks Machine Learning or Generative AI tracks (e.g., ML Associate / Professional) for AI-driven use cases
Relevant cloud certifications in Microsoft Azure or Amazon Web Services for platform deployment and architecture
Shubham Vishwakarma
Full Stack Developer - Averlon
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Department: Retention
About AppsForBharat
About AppsForBharat (Sri Mandir App)
AppsForBharat is building beautifully crafted, AI-first consumer experiences that help millions of Indians connect with spirituality and culture. We’re backed by Peak XV Partners, Elevation, Fundamentum, and other top-tier investors, and are one of India’s fastest-growing Series C consumer-tech companies.
Our flagship product, Sri Mandir, is the world’s largest platform for Hindu devotees, powering rituals, teachings, personalized recommendations, and a thriving devotional community.
India’s $44B devotion economy is still largely offline, and we’re bringing structure, accessibility, and meaning to this massive market, where design plays a central role in shaping user behavior at scale.
Role Overview
We are looking for an Associate Retention Manager to help drive app retention, DAU growth, and long-term user engagement. This is a hands-on, execution-focused role working closely with Product, Data, and CRM teams to analyze user behavior, support feature-led retention initiatives, and improve key engagement metrics.
The role is ideal for someone early in their retention/growth career who has worked in a B2C / D2C app environment and wants to deepen their impact on product-led retention.
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App Retention & DAU
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- Monitor trends and proactively flag drops or spikes in DAU
- Identify which features, cohorts, or journeys are driving sustained engagement
Product & Feature-Led Retention
- Work closely with Product Managers on features impacting retention (e.g., login, onboarding, reminders, personalization)
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- Use dashboards, funnels, and cohort analysis to answer “why” behind metric movement
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CRM & Channel Support
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- Support revenue and engagement use cases via CRM tools
- Collaborate with senior team members on lifecycle experiments
Ideal Candidate Profile
Must-Have
- 4–7 years of experience in B2C / D2C product companies
- Exposure to app retention, growth, CRM, or product analytics
- Hands-on experience working with DAU, MAU, retention metrics
- Comfortable with data analysis using Excel, dashboards, or basic SQL
- Has worked on or supported at least one product or feature impacting retention
Good to Have
- Experience with tools like Clevertap, MoEngage
- Worked on onboarding, login, reminders, subscriptions, or engagement features
- Prior collaboration with Product or Growth teams
Why This Role Matters
- Direct ownership of core app engagement metrics
- Exposure to product-led retention strategy
- Opportunity to work on habit-forming products at scale
- Clear growth path into Retention Manager / Senior Retention roles
Apply Now
Join us to reimagine how Bharat connects with faith, culture, and meaning through the power of design and technology.
One Team. One Goal. Assisting millions on their digital devotional journeys.
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Key Responsibilities
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Notice Period: Immediate Available/ 15 Days/ Serving NP or Max 30 Days NP.
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Full Stack Developer - Averlon