10+ Data validation Jobs in India

As a Data Quality Engineer at PalTech, you will be responsible for designing and executing comprehensive test strategies for end-to-end data validation. Your role will ensure data completeness, accuracy, and integrity across ETL processes, data warehouses, and reporting environments. You will automate data validation using Python, validate fact and dimension tables, large datasets, file ingestions, and data exports, while ensuring adherence to data security standards, including encryption and authorization. This role requires strong analytical abilities, proficiency in SQL and Python, and the capability to collaborate effectively with cross-functional teams to drive continuous improvements through automation and best practices.

Key Responsibilities

• Create test strategies, test plans, business scenarios, and data validation scripts for end-to-end data validation.
• Verify data completeness, accuracy, and integrity throughout ETL processes, data pipelines, and reports.
• Evaluate and monitor the performance of ETL jobs to ensure adherence to defined SLAs.
• Automate data testing processes using Python or other relevant technologies.
• Validate various types of fact and dimension tables within data warehouse environments.
• Apply strong data warehousing (DWH) skills to ensure accurate data modeling and validation.
• Validate large datasets and ensure accuracy across relational databases.
• Validate file ingestions and data exports across different data sources.
• Assess and validate implementation of data security standards (encryption, authorization, anonymization).
• Demonstrate proficiency in SQL, Python, and ETL/ELT validation techniques.
• Validate reports and dashboards built on Power BI, Tableau, or similar platforms.
• Write complex scripts to validate business logic and KPIs across datasets.
• Create test data as required based on business use cases and scenarios.
• Identify, validate, and test corner business cases and edge scenarios.
• Prepare comprehensive test documentation including test cases, test results, and test summary reports.
• Collaborate closely with developers, business analysts, data architects, and other stakeholders.
• Recommend enhancements and implement best practices to strengthen and streamline testing processes.

Required Skills and Qualifications

• Education: Bachelor’s degree in Computer Science, Information Technology, or a related discipline.
• Technical Expertise: Strong understanding of ETL processes, data warehousing concepts, SQL, and Python.
• Experience: 4–6 years of experience in ETL testing, data validation, and report/dashboard validation; prior experience in automating data validation processes.
• Tools: Hands-on experience with ETL tools such as ADF, DBT, etc., defect tracking systems like JIRA, and reporting platforms such as Power BI or Tableau.
• Soft Skills: Excellent communication and teamwork abilities, with strong analytical and problem-solving skills.

Why Join PalTech?

• Great Place to Work Certified: We prioritize employee well-being and nurture an inclusive, collaborative environment where everyone can thrive.
• Competitive compensation, strong learning and professional g

Position: QA Engineer – Machine Learning Systems (5 - 7 years)

Location: Remote (Company in Mumbai)

Company: Big Rattle Technologies Private Limited

Immediate Joiners only.

Summary:

The QA Engineer will own quality assurance across the ML lifecycle—from raw data validation through feature engineering checks, model training/evaluation verification, batch prediction/optimization validation, and end-to-end (E2E) workflow testing. The role is hands-on with Python automation, data profiling, and pipeline test harnesses in Azure ML and Azure DevOps. Success means probably correct data, models, and outputs at production scale and cadence.

Key Responsibilities:

Test Strategy & Governance

• ○ Define an ML-specific Test Strategy covering data quality KPIs, feature consistency
• checks, model acceptance gates (metrics + guardrails), and E2E run acceptance
• (timeliness, completeness, integrity).
• ○ Establish versioned test datasets & golden baselines for repeatable regression of
• features, models, and optimizers.

Data Quality & Transformation

• Validate raw data extracts and landed data lake data: schema/contract checks, null/outlier thresholds, time-window completeness, duplicate detection, site/material coverage.
• Validate transformed/feature datasets: deterministic feature generation, leakage detection, drift vs. historical distributions, feature parity across runs (hash or statistical similarity tests).
• Implement automated data quality checks (e.g., Great Expectations/pytest + Pandas/SQL) executed in CI and AML pipelines.

Model Training & Evaluation

• Verify training inputs (splits, windowing, target leakage prevention) and hyperparameter configs per site/cluster.
• Automate metric verification (e.g., MAPE/MAE/RMSE, uplift vs. last model, stability tests) with acceptance thresholds and champion/challenger logic.
• Validate feature importance stability and sensitivity/elasticity sanity checks (price/volume monotonicity where applicable).
• Gate model registration/promotion in AML based on signed test artifacts and reproducible metrics.

Predictions, Optimization & Guardrails

• Validate batch predictions: result shapes, coverage, latency, and failure handling.
• Test model optimization outputs and enforced guardrails: detect violations and prove idempotent writes to DB.
• Verify API push to third party system (idempotency keys, retry/backoff, delivery receipts).

Pipelines & E2E

• Build pipeline test harnesses for AML pipelines (data-gen nightly, training weekly,
• prediction/optimization) including orchestrated synthetic runs and fault injection
• (missing slice, late competitor data, SB backlog).
• Run E2E tests from raw data store -> ADLS -> AML -> RDBMS -> APIM/Frontend, assert
• freshness SLOs and audit event completeness (Event Hubs -> ADLS immutable).

Automation & Tooling

• Develop Python-based automated tests (pytest) for data checks, model metrics, and API contracts; integrate with Azure DevOps (pipelines, badges, gates).
• Implement data-driven test runners (parameterized by site/material/model-version) and store signed test artifacts alongside models in AML Registry.
• Create synthetic test data generators and golden fixtures to cover edge cases (price gaps, competitor shocks, cold starts).

Reporting & Quality Ops

• Publish weekly test reports and go/no-go recommendations for promotions; maintain a defect taxonomy (data vs. model vs. serving vs. optimization).
• Contribute to SLI/SLO dashboards (prediction timeliness, queue/DLQ, push success, data drift) used for release gates.

Required Skills (hands-on experience in the following):

• Python automation (pytest, pandas, NumPy), SQL (PostgreSQL/Snowflake), and CI/CD (Azure
• DevOps) for fully automated ML QA.
• Strong grasp of ML validation: leakage checks, proper splits, metric selection
• (MAE/MAPE/RMSE), drift detection, sensitivity/elasticity sanity checks.
• Experience testing AML pipelines (pipelines/jobs/components), and message-driven integrations
• (Service Bus/Event Hubs).
• API test skills (FastAPI/OpenAPI, contract tests, Postman/pytest-httpx) + idempotency and retry
• patterns.
• Familiar with feature stores/feature engineering concepts and reproducibility.
• Solid understanding of observability (App Insights/Log Analytics) and auditability requirements.

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field.
• 5–7+ years in QA with 3+ years focused on ML/Data systems (data pipelines + model validation).
• Certification in Azure Data or ML Engineer Associate is a plus.

Why should you join Big Rattle?

Big Rattle Technologies specializes in AI/ ML Products and Solutions as well as Mobile and Web Application Development. Our clients include Fortune 500 companies. Over the past 13 years, we have delivered multiple projects for international and Indian clients from various industries like FMCG, Banking and Finance, Automobiles, Ecommerce, etc. We also specialise in Product Development for our clients.

Big Rattle Technologies Private Limited is ISO 27001:2022 certified and CyberGRX certified.

What We Offer:

• Opportunity to work on diverse projects for Fortune 500 clients.
• Competitive salary and performance-based growth.
• Dynamic, collaborative, and growth-oriented work environment.
• Direct impact on product quality and client satisfaction.
• 5-day hybrid work week.
• Certification reimbursement.
• Healthcare coverage.

How to Apply:

Interested candidates are invited to submit their resume detailing their experience. Please detail out your work experience and the kind of projects you have worked on. Ensure you highlight your contributions and accomplishments to the projects.

POSITION: HubSpot Specialist – Marketing Operations

1. We seek a talented HubSpot Specialist with expertise in Salesforce to join our team and help optimize our marketing operations.
2. You will play a crucial role in managing and enhancing our HubSpot platform, ensuring seamless integration with Salesforce, and optimizing marketing automation processes.
3. Your expertise will help us improve lead management, data accuracy, and overall campaign effectiveness.

Key Responsibilities:

● HubSpot Management:

1. Administer and optimize HubSpot marketing automation processes.
2. Create and manage workflows, email campaigns, and lead nurturing programs.
3. Develop and maintain dashboards and reports to track key metrics and performance.

● Salesforce Integration:

1. Implement and manage API integrations between HubSpot and Salesforce to ensure smooth data flow. Troubleshoot and resolve integration issues, ensuring data consistency across platforms.
2. Collaborate with development teams to customize and enhance integration functionalities.

● Marketing Automation and Campaign Management:

1. Design and execute marketing automation strategies to improve lead generation and conversion.
2. Analyze campaign performance and adjust strategies based on data insights.
3. Implement and manage Pardot integration, if applicable, to enhance marketing efforts.

● Collaboration and Support:

1. Work closely with sales, marketing, and IT teams to align strategies and achieve business goals.
2. Provide training and support to team members on HubSpot and Salesforce best practices.
3. Stay updated on industry trends and emerging technologies to recommend improvements.

● Other related duties as needed.

WHAT YOU WILL DO:

● Develop, customize, and optimize workflows, automation, and integrations in HubSpot and Salesforce.

● Manage integrations between HubSpot, Salesforce, and other marketing/sales tools.

● Ensure seamless data synchronization, integrity, and reporting across platforms.

● Collaborate with marketing and sales teams to implement automation strategies, lead scoring models, and campaign tracking.

● Create and maintain documentation for HubSpot and Salesforce configurations, workflows, and best practices.

● Troubleshoot and resolve technical issues within the marketing automation ecosystem.

● Train internal teams on best practices and system functionalities.

● Assist in data migration, cleanup, and enrichment activities to maintain database health.

● Stay updated on industry trends, platform updates, and emerging technologies.

REQUIRED SKILLS & QUALIFICATIONS:

● Bachelor’s degree in marketing, Business, Information Technology, or a related field; or equivalent certifications.

● 5+ years of proven experience managing HubSpot CRM and marketing automation platforms.

● Strong experience with Salesforce API integrations and data management.

● Excellent analytical skills with the ability to interpret data and provide actionable insights.

● Strong problem-solving skills and attention to detail.

● Preferred Skills: HubSpot certification(s), Salesforce certification(s), or experience with Salesforce development.

Experience with additional marketing automation tools or platforms.

● 6+ years of experience with Salesforce.com APIs (REST and Bulk), Salesforce.com configuration including but not limited to workflows, data validations, import tools, security & sharing, Visualforce pages, and Apex, salesforce.com, SOQL, and SOSL query language 

● Excellent communication and collaboration skills.

EMPLOYMENT TYPE: Full-Time

LOCATION: Remote PAN India

SHIFT TIMINGS: 02:00 pm to 11:00 pm IST 

Data Validation

Sales coordination with internal and external departments

Should have Excellent communication, sales, and customer service skills.

Hiring and training interns and ensuring staff meets their quotas and goals

Helping the sales team improve their productivity by contacting customers to arrange appointments and ensuring

• Responsible for gathering, crunching, collecting raw data.
• Own all data needs in the growth team and across key cross-functional initiatives from data extraction, dashboard creation, and data analysis.
• Provide insights and recommended actions as response to current situation, trend, as well as preventive one for better preparation.
• Collaborate with data engineering and cross-functional stakeholders to define data requirements, create dashboard, to drive business decisions and optimize business outcomes
• Manage any regular reporting and tracking.
• Deliver analysis, insights, reporting, data marts, and tools to support the business team.
• Build & maintain data mart and dashboards for tracking business OKR and initiatives.
• Ingest both internal and external data to support business needs.

• Bachelor's degree in Engineering, Mathematics, Statistics, Operation Research or other related disciplines.
• Having 2 - 5 years experience will be an advantage, but fresh graduates are welcomed to apply as well.
• Expert in Spreadsheet, SQL and strong experience with Data Visualization and Reporting tools (e.g. Tableau, Google Data Studio)
• Comfortable working independently and collaboratively with minimal guidance.