5,077 remote data analyst jobs in India.

Lead Data scientist Lead Data scientist The Lead Data Scientist architects, builds, and runs production-grade Machine Learning and Generative AI systems—owning the full lifecycle from model development to scalable cloud deployment and ongoing performance monitoring . In addition, the role partners with commercial stakeholders ...

... and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure. Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data. Design and implementation of data warehoused and data ...

We are seeking a highly analytical Data Engineer with a strong background in the BFSI sector to own the end-to-end lifecycle of our automated data reporting pipelines. they design, maintain, and optimize robust data workflows that process large-scale financial data while ensuring data governance and operational https://jobeax.com/link/idqhXkzRwBwOt6Bb ...

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 12 ...

... data from various sources to internal databases. DATA INFRASTRUCTURE: Influences the construction and optimization of data infrastructure, providing appropriate data formats to ensure data readiness for analysis. DATA FORMATS: Examines and sees improvement opportunities for appropriate data formats to optimize data usability ...

... (e.g., Salesforce) and related data flows Use Python or ETL tooling for profiling, wrangling, and repeatable data quality checks Demonstrate understanding of data governance, data ethics, and responsible data use in regulated environments Embrace a growth mindset and continuous learning of modern data patterns and tooling

... competitive advantage. Band: M3/M4 (6 to 14 years) Should have experience in PySpark and Scala + Spark for 4+ years (Min experience). Proficient in debugging and data analysis skills. Should have Spark experience of 4+ years Should have understanding of SDLC and Big Data Application Life Cycle Should have experience in GIT ...

... established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D. Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid ...

... independently. Analyzes data sources for profiling the data to ensure pipeline build success. Defines success and failure thresholds for data collection pipelines. Data Processing & Pipelining - Data Governance: Implements data governance policies and procedures for data handling (e.g., data retention) to manage data consistency, ...

... for organizational strategy like Prescriptive Analytics/Data optimization and simulation. Work on Data exploration and Visualization. Extensive experience in Data communication and storytelling Big Data Analytics, Processing and analyzing large volumes of structured and unstructured data to uncover patterns and trends. ...

... BigQuery, - Experience of end-to-end ownership in data engineering - Collaborative approach with the data team, where data analysts are also - contributing to our data models, and stand in for data engineers when needed. - Strong data modelling and organizational skills. - Proven track record in creating robust data processes ...

... REST/SOAP APIs and Python within the Google Cloud Platform (GCP). The Senior Data Engineer will build and manage scalable data pipelines using tools such as Dataform, Airflow, Cloud Run Functions, and Workflows, with infrastructure managed as code via Terraform, ensuring seamless access to data for analytics, business ...

... years of experience in Data Engineering, Distributed Systems, or Data Platform development.- Strong experience owning large-scale production systems end-to-end.- Data Engineering Expertise : Strong hands-on experience with : Apache Spark, Kafka, Flink, Airflow, Distributed Data Processing, Batch and Streaming https://jobeax.com/link/8G4qHtRR06EBVYRg ...

... will partner closely with divisional and functional Data Management Offices (DMOs), business leaders, and IT teams to drive execution of a broad portfolio of data initiatives spanning data strategy, data governance, data quality, data stewardship, data architecture, and data integration . The Data Program Manager will be ...

... business teams Define long-term data strategy and roadmap 8+ years of experience in data engineering/data architecture. - Proven experience designing large-scale data platforms. - Strong SQL and Python/Scala skills. - Experience handling TB-PB scale datasets. - Strong understanding of data modelling (dimensional + data vault). ...

... https://jobeax.com/link/1nhquhtB7fyUWtVJ & Data Engineering Skills :- AWS : S3, Lambda, Glue, Athena, RDS, ECS, CloudWatch- GCP : Cloud Storage, Cloud Functions, Dataflow, BigQuery, Pub/Sub, Cloud Run- Data ingestion pipeline development- Batch and streaming data workflows- Data modeling and warehouse conceptsDevOps Skills ...

... monitoring and logging tools CloudWatch, ELK, Grafana, or Prometheus. - Understanding of cloud security fundamentals (IAM, VPC, encryption). - Knowledge of metadata management and Relational/NoSQL databases. Good-To-Have Skills: - Python automation and scripting knowledge. - Healthcare compliance knowledge. - Cigna experience ...

... operational excellence that makes a real difference in organizational performance. As a Associate Clinical Data Team Lead, you will act as the assistant lead data manager for one or more projects, supporting the lead data manager by performing assigned tasks in study setup, data cleaning, database close-out, and other associated ...

... to multi-task and manage data feed configurations and date point mapping development. Plan and establish timelines to meet or exceed business expectations for data feed configurations and date point mapping development. QC data feed configurations and date point mappings. Complete mandatory Quality Assurance training sessions. ...

... and data processing frameworks. Key responsibilities Design and implement data pipelines using AWS services and PySpark. Develop and optimize SQL queries for data extraction and transformation. Monitor and maintain data workflows in Apache Airflow. Collaborate with data scientists and analysts to understand data requirements. ...