7,919 data services jobs in India.

• Contract

675k

... healthcare, driving impact for customers and defining the pace of patient progress. Job Responsibilities Job Summary Responsible for project management of all the data management services for the assigned projects. Ensures the contracted Data Management activities for projects are carried out by the Company in accordance with ...

... optimising data delivery and re-designing infrastructure for greater scalability.- Collaborate with stakeholders to ensure seamless integration of data with internal data marts, enhancing advanced reporting.- Setup and maintain data ingestion, streaming, scheduling, and job monitoring automation using AWS services.- Setup Lambda, ...

$11 USD

... operating in environments with variable network connectivity. Data Architecture & Edge Ecosystem Design Design, build, and maintain a highly resilient, scalable data architecture capable of syncing, storing, and processing massive datasets from both centralized cloud services and distributed edge devices (battery swap stations ...

• Full-time

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. AWS AI Services Minimum 3 Year(s) ...

• Remote
• Contract

... including Azure Data Factory, Synapse, Databricks, or Fabric. Experience with AWS Step Functions, Airflow/MWAA , or similar orchestration tools. Familiarity with data governance, metadata management, and data quality practices. AWS certifications. Experience working with Financial Services and/or Healthcare clients. Employment ...

... understanding of supervised and unsupervised ML algorithms. - Hands-on experience with model deployment tools such as Docker, Flask, FastAPI, or cloud-based ML services (AWS SageMaker, GCP Vertex AI, etc.). - Proficiency in working with structured/unstructured data, SQL. Added Advantage: - Experience in Computer Vision (e.g., ...

• Full-time

... strong hands-on experience with AWS data services and distributed data processing, along with a solid understanding of data modelling, streaming architectures, data quality, and pipeline optimisation. Requirements KEY RESPONSIBILITIES Design, develop, and maintain end-to-end data pipelines for high-volume data ingestion, ...

• Hybrid

... experience designing and building scalable distributed data pipelines and dimensional data models - 3+ years of experience in Python and SQL - Experience using Databricks platform and PySpark is a must. - Extensive experience of Microsoft Azure data services – Data Factory, ADLS gen2, Event Hubs, Azure SQL, Azure Key Vault ...

... architectures - Deep SQL expertise; hands-on experience designing schemas and tuning queries at production scale - Extensive, hands-on experience with AWS cloud data services for storage, compute, messaging, and eventing - Advanced Python proficiency for pipeline development; experience structuring code for maintainability ...

• Full-time

... translating business requirements into accurate, intuitive, and actionable dashboards. - Experience working with Finance, Risk, FinTech, Banking, or Financial Services data is highly desirable. - Strong understanding of financial and operational KPIs, data trends, and analytical reporting. - Excellent data visualisation and ...

... Collaborate with data scientists and business stakeholders to operationalize computational and statistical models in production environment. Integrate backend services with Azure cloud components, including Azure Data Lake Storage, Databricks Delta Lake, and Azure DevOps. Develop reusable, modular, and maintainable code following ...

... Collaborate with data scientists and business stakeholders to operationalize computational and statistical models in production environment. Integrate backend services with Azure cloud components, including Azure Data Lake Storage, Databricks Delta Lake, and Azure DevOps. Develop reusable, modular, and maintainable code following ...

As the leading provider of workforce solutions, and with services across 60+ countries, we innovate, consult, design, and implement successful, creative, and data-driven talent solutions across all workforce categories.. We know what it takes to attract the best talent while designing and executing strategies that align ...

... capture the most granular data. Align the engineering and product teams on the Data Granularity and accuracy requirements. Build Alerts to detect bugs in the data pipeline. Perform data analysis to test hypothesis and uncover factor influencing metric variations Build Feature Store for Data Science implementations Overall ...

... mindset — you build it, you own it, you operate it Nice-to-Have Experience with Kafka, Kinesis, or Event Hubs for event streaming Familiarity with dbt for ELT and data testing Great Expectations or Deequ for data quality Docker / Kubernetes for containerized data services Knowledge of data security patterns: PII masking, tokenization, ...

• Full-time

... 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. https://jobeax.com/link/6WcBICn0LM558SP0 AWS AI Services Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full ...

... Works in tandem with Data Architects, Data Stewards, and Data Quality Engineers to design data pipelines and recommends ongoing optimization of data storage, data ingestion, data quality and orchestration. Designs, develops, and implements ETL/ELT/CDC processes using Data Build Tool (DBT) and other native GCP Services (BigQuery ...

• Hybrid

... Python. Develop and optimize large-scale data transformations using PySpark. Ensure data quality, reliability, and performance of data pipelines. GCP BigQuery Data Ingestion & ETL/ELT Data Pipeline Orchestration Python PySpark Strong SQL and data engineering fundamentals hands-on experience in GCP-based data platforms.

• On-site

... time-series, and unstructured data across Linde's global operations Develop unified data platforms ensuring secure, governed, and efficient access to enterprise-wide data Build and manage robust data pipelines integrating sources like ERP systems, IoT devices, iHistorian, web services, and external APIs Leverage modern data engineering ...

• Remote
• Hybrid
• On-site

... orchestration, OneLake concepts and Power BI semantic models, including Direct Lake where appropriate. - Experience with data warehouses, data lakes and Azure data services such as Azure Data Lake Storage and Azure Data Factory. - Strong knowledge of dimensional modelling, analytical structures and data-modelling trade-offs. ...