2,049 good data lab jobs in India.

... improvement of data pipelines, scalable and reusable frameworks, and implement data governance and data quality engines. The position enables trusted, governed data across systems, supporting analytics, compliance, and business operations at ELGi. Data Engineering & Architecture Design scalable, production-grade ETL/ELT pipelines ...

Data Pipeline Development & Operations - Design, build, and operate scalable and reliable data pipelines on the Databricks platform - Develop end-to-end data workflows from ingestion through transformation to consumption - Implement robust error handling, monitoring, and alerting mechanisms - Ensure data pipeline reliability, ...

... not notebook-level scripting Implement robust data quality controls: schema validation, deduplication, referential integrity checks, and anomaly detection Collaborate on data modeling (star/snowflake, data vault, medallion architecture) and define data contracts and lineage Build CI/CD for data pipelines (tests, linting, ...

... visualization, distributed architectures, and modern data engineering https://jobeax.com/link/TtkK7BHPbancvnFq Responsibilities:- Design, develop, and maintain scalable ETL/ELT data pipelines.- Build and manage distributed and event-driven architectures for large-scale data processing.- Develop backend services and data infrastructure ...

... data-quality issues. - Support business intelligence and analytics projects. - Help convert raw data into clear, actionable insights. - Research and evaluate relevant datasets, metrics, and analytical approaches. - Document analysis, assumptions, findings, and conclusions. - Collaborate with the team on data-driven problem solving. ...

Position: Data Scientist Experience: 3 – 4 Years We are looking for a Data Scientist to help us see those patterns earlier: which investors need a nudge, which portfolios are drifting off-plan, and which programs are actually moving the needle. Investment and portfolio analytics- build models that surface portfolio drift, ...

... data science solutions. Our program spans fintech product development, digital transformation, process automation with machine learning, business intelligence, data governance, and generative AI. You will work alongside an advanced data science and engineering team — and collaborate with professionals from the world's largest ...

... AI-driven healthcare enterprise applications . In this role, you will combine strong people leadership with deep technical expertise to guide the development of scalable, data-intensive solutions that drive meaningful business impact. As a leader who is still technically involved , you will mentor and manage data scientists ...

... experience designing and building applications using classical ML models and Large Language Models (LLMs). - Expert-level proficiency in Python, SQL and its data science libraries (e.g., Proven track record of leading complex, end-to-end data science projects that have delivered significant business impact. Experience ...

... security standards throughout the data platform development process. Troubleshoot and resolve data platform issues promptly and effectively. Collaborate with the Data Architect to understand data platform requirements and design specifications. Assist with data modelling and optimization tasks. Document the data platform architecture, ...

... transformations, and performance tuning. - Good experience with Python for data processing, automation, and Lambda development. - Strong understanding of data warehousing, data modeling, ETL/ELT, and data lake concepts. - Experience building and supporting production data pipelines. - Experience troubleshooting data and pipeline performance ...

... borrower creditworthiness, mitigate operational loss, and intercept real-time fraud vectors. This is a business-critical position reporting directly to Risk and Data Science Leadership, collaborating closely with Engineering, Product, Collections, and Finance teams. Build, evaluate, and scale predictive models using XGBoost, ...

... AI-driven healthcare enterprise applications . In this role, you will combine strong people leadership with deep technical expertise to guide the development of scalable, data-intensive solutions that drive meaningful business impact. As a leader who is still technically involved , you will mentor and manage data scientists ...

... reporting, and metadata coverage.- Collaborate across business, IT, legal, and compliance teams for role https://jobeax.com/link/D9UR6EbHufGvIjFa Candidate :- Strong Data Governance Lead Profile with deep Microsoft Purview and enterprise governance expertise.- 7+ years of experience in data governance and data management with at ...

... production-ready ML solutions within enterprise platforms (Databricks, Azure ML) including model training, endpoint deployment, and monitoring - Develop and maintain scalable, modular, well-documented code following MLOps best practices including version control, logging and metadata standards, and CI/CD principles - Participate ...

... orchestration, data quality, and observability.A key part of the role is owning ClickHouse as our primary analytical data store. You will be responsible for designing scalable data models, optimizing query performance, and ensuring the platform remains reliable and cost-efficient as data volumes and workloads https://jobeax.com/link/6P8s6hBOPJeiA62U ...

WE'RE HIRING | DATA ENTRY OPERATOR Work Mode: On-site | Full-time Experience: 0–5 Years Good typing speed with strong accuracy Proficiency in MS Excel, MS Word & Google Sheets Strong attention to detail and data accuracy Ability to manage and organize large volumes of data Basic computer and internet skills Familiarity ...

... with requirements gathering and stakeholder interviews.- Strong analytical and problem-solving https://jobeax.com/link/D1cYk5JWAvbfErTV Stack/Understanding :- Data Catalogs- Metadata Management- Data Quality- Data Governance Frameworks- Advanced Excel, PowerPoint, and reporting https://jobeax.com/link/Cexs453KRiH2S1rJ Qualifications ...

... using Cypher Query Language (CypherQL). Implement Graph Data Modeling techniques for relationship-driven datasets. Work with PostgreSQL databases for structured data management and optimization. Develop APIs and backend services using FastAPI. Integrate multiple data sources and ensure data consistency and quality. Collaborate ...

... Work with large datasets using PySpark and SQL Collaborate with engineering and product teams to design scalable solutions Generate actionable insights through data analysis and modeling Deploy, monitor, and improve model performance Qualifications - Bachelor's/Master's in Computer Science, Data Science, Engineering, or related ...