6,362 data process executive jobs in India.

... and reports Database & Documentation Design database schemas to support new and future systems Document SQL schemas, pipeline logic, and report definitions so processes are maintainable beyond one person Identify and implement improvements to existing data processes, reducing manual, repetitive work Bachelor's degree or higher ...

... machine learning models into data pipelines for enhanced data processing. - Utilising Spark & Kafka: Implementing and working with Spark and Kafka for real-time data processing and analytics. What we are looking for? - Proficiency in Python, SQL, and database management. - Experience with Data Pipelines ETL, Cloud Services ...

Job Description: IF interested, please fill this form: - - 5+ years of experience combined in programming, small to large-scale applications, frontend and backend engineering, test-driven development, microservices and architecture design principles - Must have experience on AI/ML implementation such as: Langchain,

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Large Language Models (LLMs) ...

... requirements and technical execution, ensuring high-quality solution delivery Mentor junior scientists on coding standards, experimental design, and model ethics Audit data quality and process integrity across the entire modelling lifecycle Mentor and guide junior data scientist Stay updated with the latest trends in data science ...

Senior Tech Specialist, Applications & Platforms

... and efficient data pipelines, data models, and data integration processes Collaborate with crossfunctional teams to understand data requirements and deliver data solutions that meet business needs Ensure data quality and integrity by implementing data validation and cleansing processes Optimize data engineering processes ...

... applications and next steps. Our partner is looking for a Senior Data Scientist – Adversarial based in India. Join a global web security environment where advanced data science directly contributes to protecting major digital platforms and brands. As a Senior Data Scientist, you will investigate sophisticated attacks, analyze ...

... transformation initiatives. • Knowledge of SAP Finance modules (FI/CO), financial master data concepts, and finance-related business processes. • Experience with SQL, databases, and large datasets. • Familiarity with BI and reporting tools such as Power BI, SAP Analytics Cloud (SAC), or Tableau. • Exposure to data warehousing concepts ...

... professional experience in lieu of a degree - 5+ years of hands-on industry data engineering experience - Proficiency in SQL, Spark, Python - Hands-on experience with Databricks, AWS, Snowflake - Demonstrated strength in data modeling, ETL development, and data streaming. - Experience with AWS products including Lambda, Step Functions, ...

... experience working with real-world datasets. Experience in data cleaning, preprocessing, and exploratory data analysis. Hands-on exposure to SQL, Excel, Python, and data analytics tools. Experience creating dashboards, visualizations, and analytical reports. Practical understanding of data-driven decision-making. Experience communicating ...

... Must-have: Ability to identify data quality issues, investigate root causes, and apply fixes in line with business rules Experience in data mapping and in executing data remediation and cleansing activities as part of a platform migration SQL (and Python if possible) skills for querying, analysing, and remediating data at scale ...

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Data Engineering Minimum 5 ...

... data architecture, cloud platform design, or equivalent data-platform architecture.- Distributed Computing: 10+ years of experience working with distributed data processing or modern cloud data platforms, with strong hands-on exposure to Databricks, Spark, Snowflake, or equivalent technologies.- Data Architecture: Strong ...

... downstream consumers. Experience with CI/CD for data pipelines (CodePipeline, GitHub Actions, or equivalent). If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information.

... Qualifications Educational qualifications & Experience: Bachelor's degree in computer science, Information Security, or related field. 10–12 years of experience in data loss prevention, data discovery/classification, and database/data security. Experience with DSPM tools and integration in hybrid environments. Familiarity with ...

... Data and AI architecture, standards and solution patterns.- Design and lead high - performance Databricks and Microsoft Fabric platforms.- Architect scalable Data Lake, Lakehouse and Data Warehouse solutions.- Design AI/ML - ready data pipelines and data - processing architectures.- Develop architecture patterns for GenAI, ...

... growing AI team and contribute to the development of scalable data processing pipelines for NLP and LLM applications. Design, develop, and maintain scalable data pipelines for processing large volumes of structured and unstructured data. Build document ingestion and processing workflows for PDFs, scanned documents, HTML ...

... disruptions of the future. We are looking forward to hire Azure Data Lake (ADL) Professionals in the following areas : Role - Azure Data Engineer Azure Data Lake, Data Factory, Pipelines, Synapse (mandatory) SQL, Python, PySpark / Spark-SQL Web tech, relational DBs, data warehousing, ETL design Microsoft Certified Data Engineer ...

... master data management and ensure platform integration with other systems. Data Transformation and Processing: Use Python, PySpark, and Fabric Notebooks to process and transform data at scale. Implement transformation logic to prepare data for analysis and reporting. Optimize data processing workflows for efficiency and ...