4,271 operations data analyst jobs in India.

... cross-organizational and cross-divisional projects automating our data value chain processes Promoting technical best practices throughout the data organization Design data architecture that is simple and maintainable while enabling Data Analysts, Data Scientists, and stakeholders to efficiently work with data. Mentor data team members ...

... and become an SME. Required active participation/contribution in team discussions. Contribute in providing solutions to work related problems. Collaborate with data scientists and analysts to understand data needs and provide necessary data solutions. Monitor and optimize data pipelines for performance and reliability. Professional ...

... legal entity. You will be part of a world-class Data Engineering team, where you will: inform Data Science and Analytics Platform teams partner closely with data consumers and producers to ensure quality and usefulness of data assets You will be involved in strategizing measurement, collecting data, and generating insights. ...

... platform stability. Collaboration - Work closely with Data Analysts, Architects, Business Teams, and Vendors. Overall years of experience 8+ years of experience in Data Engineering and Enterprise Data Platforms. Relevant years of experience 5+ years of hands-on experience with SQL, Hadoop/Cloudera, Azure Data Platform, Databricks, ...

... involves supporting, monitoring, and troubleshooting data pipelines and ETL processes, ensuring data reliability and smooth operations across Snowflake-based data https://jobeax.com/link/tlplQAnK5B36KMXq Responsibilities :- Monitor and support daily data pipeline operations, ensuring timely and accurate data delivery.- ...

... Azure Data Factory, SQL, and cloud data platforms (Azure and/or GCP). - Proven expertise in designing, optimizing, and managing large-scale, production-grade data pipelines, including deep skills in SQL performance tuning, ADF orchestration, and CI/CD automation. - Advanced knowledge of production operations, troubleshooting, ...

Design and implement data pipelines for supply chain data (e.g., inventory, shipping, procurement). - Develop and maintain data warehouses and data lakes. - Ensure data quality, integrity, and security. - Develop data models and algorithms for predictive analytics (e.g., Implement data visualization tools (e.g., Tableau, ...

... science-oriented work based on skills and project needs. Gather and support delivery work - Work on real-world projects with guidance from experienced developers and analysts. - Support data science tasks such as exploratory analysis, feature preparation, hypothesis testing, and pattern detection. - Assist with simple experimentation, ...

... cross-organizational and cross-divisional projects automating our data value chain processes Promoting technical best practices throughout the data organization Design data architecture that is simple and maintainable while enabling Data Analysts, Data Scientists, and stakeholders to efficiently work with data. Mentor data team members ...

... pipelines to ingest, transform, and validate data from marketplace, inventory, and sales sources Build and maintain SQL data lake storage so historical and change data stays available for analysis Automate recurring data jobs (e.g., via Rundeck) and monitor them for failures and data anomalies Use AI tools to accelerate pipeline ...

... transformation, and loading (ETL) of data. Your responsibilities will include: - Data Pipeline Development: Building and optimising data pipelines to facilitate seamless data flow across systems and platforms. - Database Management: Managing databases, ensuring their integrity, and implementing data storage and retrieval solutions. ...

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,

... processes to extract, transform, and load data, enabling seamless migration and deployment across various systems. Collaboration with different teams to align data strategies and troubleshoot data-related challenges is also a key part of daily responsibilities, contributing to the overall success of data operations. Provide ...

... 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 ...

... technical investigation with hands-on development of detection improvements and analysis of emerging attack patterns. You will collaborate closely with security operations, customer-facing teams, and fellow data scientists to translate complex findings into actionable solutions. Your work will help improve detection accuracy, ...

... data from multiple enterprise systems. • Understand and document finance-related business logic and technical data flows. • Support integration of SAP financial data into reporting and planning solutions. • Collaborate with global stakeholders to gather and clarify business requirements. • Support data modelling and data transformation ...

... 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, ...

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 ...