
Role Overview
We are seeking a Senior SQL Developer & ETL Engineer with 5+ years of experience for a 100% remote opportunity.
Please Note: This is not a pure Data Engineering role. We are looking for a true SQL Specialist. Your core strength must lie in relational database development, schema design, and writing high-performance database logic with Python, ETL, Cloud. SQL mastery and database architecture are the absolute heart of this role.
If you are a database developer who loves diving into query execution plans, refactoring messy stored procedures for 10x performance, and building clean data models from scratch, this role is for you.
Key Responsibilities
1. Database Architecture & Schema Design
- Design, implement, and maintain robust relational database schemas.
- Architect optimal data models for both operational (OLTP) and analytical (OLAP/Data Warehousing) workloads.
- Implement Normalization (3NF) and dimensional modeling (Star/Snowflake schemas) as required.
2. Advanced Database Programmability
- Write, debug, and optimize highly complex Stored Procedures, Functions, Triggers, and Views to handle core business logic at the database level.
- Utilize advanced SQL techniques such as CTEs, Window Functions, and complex analytical queries to solve business problems.
3. Performance Tuning & Indexing
- Analyze query execution plans, identify performance bottlenecks, and implement advanced indexing strategies (B-Tree, Clustered/Non-Clustered, Partitioning).
- Refactor legacy SQL code and manage statistics, locking, and concurrency mechanisms to ensure sub-second response times.
4. Python & Cloud ETL/ELT Pipelines
- Develop, schedule, and maintain scalable data ingestion and transformation pipelines to connect disparate data sources.
- Leverage Cloud Data Platforms alongside modern Python libraries to build efficient data movement workflows.
5. Data Integrity & Governance
- Establish strict database constraints, data validation routines, and automated quality checks to guarantee absolute data accuracy.
Required Technical Skills
- Expert-Level SQL & DB Programmability (5+ Years): Mastery of writing server-side logic (Stored Procedures/Functions) and complex queries in enterprise platforms like PostgreSQL, SQL Server, Oracle, or MySQL.
- Advanced Database Optimization: Deep, under-the-hood understanding of database engines, execution plans, indexing strategies, and concurrency/locking control.
- Python for Data Engineering (3+ Years): Proficient in writing clean, modular Python scripts for API integration, data manipulation, and ETL processing (using libraries like Pandas, SQLAlchemy, or custom database connectors).
- Cloud Data Experience: Hands-on experience working with, migrating to, or developing within major cloud environments (AWS, Azure, GCP) and modern cloud data warehouses (Snowflake, BigQuery, or Redshift).
- Data Modeling Methodologies: Practical experience designing Star/Snowflake schemas, handling Slowly Changing Dimensions (SCD), and balancing normalization vs. denormalization.
Remote & Soft Skills
- Legacy Refactoring Mindset: You genuinely enjoy opening up a massive, poorly optimized 500-line legacy stored procedure and refactoring it for maximum efficiency.
- Autonomous Execution: Proven ability to manage your own time, architecture tasks, and deliverables without micromanagement in a fully remote setup.
- Asynchronous Communication: Exceptional written and verbal English communication skills to collaborate seamlessly across time zones.
Nice-to-Haves
- Experience migrating legacy on-premise infrastructure and stored procedures to modern cloud data warehouses.
- Familiarity with workflow orchestration tools like Apache Airflow or Prefect.
- Hands-on experience with dbt (data build tool) for in-warehouse transformations.

About Mango Sciences
About
Mango Sciences is a leading emerging market data science company connecting millions of underrepresented patients to precision medicine. The company’s Querent™ platform utilizes industry-leading AI analytics to transform deep clinical data into key insights that drive global health improvements. Mango Sciences is currently partnering with hospitals to understand the health data of individuals in India and other emerging markets to drive advancement in patient care and drug discovery for all populations.
Website- https://mangosciences.com/
Industry- Health Technology
Headquarters - Boston, Massachusetts
Tech stack
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- Work with Smart Forms, Adobe Forms, Web Dynpro, Reports, Module Pool Programming, BDCs, LSMW, IDOCs, BADIs, User Exits, and Enhancements.
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- Utilize CDS Views, OData Services, and support integration with SAP Fiori Apps where applicable.
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- Minimum 8+ years of overall SAP experience.
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- Good understanding of S/4HANA data models and SAP NetWeaver architecture.
- Ability to debug, troubleshoot, and resolve both ABAP and MDG-related issues.
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Good to Have
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WHAT YOU'LL DO?
- Drive growth-focused design initiatives across acquisition, activation, retention, and revenue optimization
- Design and optimize conversion funnels from first touch to long-term engagement, focusing on key growth metrics (CAC, LTV, retention rates, conversion rates)
- Lead experimentation through design—create A/B tests, landing page variants, onboarding flows, and feature experiments that drive statistically significant improvements
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- Onboarding and activation experience design
- Subscription and monetization flow optimization
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IDEAL CANDIDATE:
- Masters/Bachelor's from premier institutions (IIT, BITS, NID)
- 3-7 years of full-stack product design experience with proven growth impact
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- Strong analytical mindset with ability to translate business metrics into design solutions
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- Experience in subscription-based or marketplace products
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- Contribute in all phases of the development lifecycle
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∙ 2+ years’ experience designing, querying, and updating databases in MySQL/nosql
∙ Passion for best design and coding practices and a desire to develop new bold ideas
∙ Good to have knowledge of AWS, Redis, ElasticSearch
Education: Min. Graduate in related discipline
Work experience: 2 years relevant experience
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We are looking out for a technically driven "ML OPS Engineer" for one of our premium client
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Key Skills
• Excellent hands-on expert knowledge of cloud platform infrastructure and administration
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least 2 major DevOps stacks (e.g., Azure DevOps, Gitlab, Argo)
• Experience with modern development methods and tooling: Containers (e.g., docker) and
container orchestration (K8s), CI/CD tools (e.g., Circle CI, Jenkins, GitHub actions, Azure
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Kubeflow)
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(e.g., pytest) and Infrastructure as Code (e.g., Terraform) and Kubernetes artifacts (e.g.,
deployments, operators, helm charts)
• Experience setting up at least one contemporary MLOps tooling (e.g., experiment tracking,
model governance, packaging, deployment, feature store)
• Practical knowledge delivering and maintaining production software such as APIs and cloud
infrastructure
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Spark Framework
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Docker/Jenkins/ Spinakar
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Hive Queries
He/She should be good coder.
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Must have experience: -
Python
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exposure to Machine Learning Lifecycle is mandatory.
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This is searching domain project. Any searching activity which is happening on website this team create the model for the same, they create sorting/scored model for any search. This is done by the data
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- Good to have data modeling, data engineering, and data security experience within the Hadoop ecosystem.Good to have deep JVM/Java debugging and tuning skills.
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• Basic understanding of CSS pre-processing platforms, such as LESS and SASS.
• Good understanding of responsive web development.
• Proficient understanding of cross-browser compatibility issues and ways to work around them.
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