4,184 data migration consultant jobs in India.

... teams to integrate predictive models into live production environments, ensuring low-latency performance and high reliability.- Conduct deep-dive exploratory data analysis on large-scale financial datasets to uncover hidden patterns that drive product strategy and business growth.- Partner with stakeholders to define key ...

... Accountabilities and Responsibilities (e.g., for Business, Customers and Stakeholders; internal control environment, etc.) - Having profound knowledge of reference data (Instrument) provided by market data vendors (Bloomberg, LSEG, ICE, Six Telcurs) - Initiate and then implement high-impact quality projects leading to operational ...

... AML Detection and Monitoring Operations.- Validate data, identify data quality issues (if any), and work with Technology to address them. Analyze and interpret data reports, draw conclusions and make recommendations answering specific business needs.- Automate data extraction and data preprocessing tasks. Perform adhoc data ...

... documentation meets regulatory compliance and operational standards through systematic verification and audit-readiness assessment. Responsibilities - Review laboratory data packages for accuracy, completeness, and procedural compliance - Verify calculations, transcriptions, and data entries; confirm results match raw data - Conduct ...

... transformation or modernization programs. - Experience leading large-scale data migration initiatives. - Experience working in Agile/Scrum environments. - Relevant cloud/data certifications are an advantage. - Ideal Candidate - 15+ years | Data Architecture | Hands-on Data Lead Experience | Cloud & Modern Data Platforms | Strong Technical ...

... algorithm results and insights to stakeholders - Communicate complex analytical concepts effectively to audiences at all organizational levels through clear, data-driven storytelling Technical Responsibilities: - Perform comprehensive data exploration, preprocessing, data transformation, validation, reconciliation, feature ...

... least one dynamic language and SQL, a good business mindset, and data analysis competencies In this role you will: - Data Integration: Automate ingestion of data from multiple sources (e.g., Google Sheets, APIs, internal systems) into BigQuery - Database Management: Design, build, and maintain scalable data pipelines and ...

... (e.g., placement fees, immigration processing fees, etc.). Follow the LINK to understand more about recruitment scams in the name of ExxonMobil. Functional Skills Data Visualization Data Modeling Applied Software Engineering for Data Data Architecture & Strategy Data Integration Data Compliance Governance & Security Data Management ...

... to the design, development, implementation, optimization and troubleshooting of data solutions. The role requires strong ownership across data architecture, data modelling, batch and real-time processing, data integration, data quality, performance, security and platform engineering. You will define data models, integration ...

... trends using Google Sheets and MS Excel. - Use AI tools such as Claude to assist with data analysis, reporting, and workflow optimization. - Automate repetitive data tasks and improve reporting efficiency using AI-powered tools. - Perform data validation and maintain data accuracy and consistency. - Integrate data from different ...

... make earlier and better decisions. Slate’s “Digital Assistant'' uses machine learning and AI to execute multi-dimensional analysis across internal and external data sources. This includes public data such as weather, labor, and traffic with the dark data locked in silos and non-integrated systems within their own and sub-contractor ...

... date with the latest developments in data science and machine learning https://jobeax.com/link/oLVyX1MEk3pHDZEY Stack : - Programming : Python, R, or Scala- Data Analysis : Pandas, NumPy, scikit-learn- ML Frameworks : TensorFlow, Keras, or PyTorch- Visualization : Tableau, Power BI, or Matplotlib- Databases : SQL- Big ...

... workflows. - Contribute to improvements in data quality, monitoring, and availability, and help onboard new data sources in collaboration with the team. - Implement data quality checks and tests within the team's data quality framework. - Maintain accurate entries in the enterprise-wide data dictionary for the datasets and pipelines ...

... for a highly skilled Data Engineer with a strong foundation in Power BI, SQL, Python , and Big Data ecosystems to help design, build, and optimize end-to-end data solutions. The ideal candidate is passionate about solving complex data problems, transforming raw data into actionable insights, and contributing to data-driven ...

... Net Zero by 2040. What you'll be doing Build, maintain, and monitor automated data pipelines on the Group's cloud data platform, transforming raw transactional data into reporting schemas and developing BI dashboards to deliver reliable, analytics-ready data. • Build, maintain, and monitor automated ETL/ELT data pipelines ...

... experienced Data Engineer to manage in-progress and upcoming data infrastructure projects. The candidate will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline ...

Purpose of Job We are looking for a Senior Data Engineer who is equally strong on the data side (modelling, data quality, SQL, understanding the business) and the engineering side (Python, PySpark, CI/CD, performance, reliability). You will own the design and delivery of production data platforms from requirements to production ...

... scalable data pipelines and third-party API integrations. - Work with business teams and analysts to interpret business rules and derive insights. - Implement data-quality processes, monitoring, and alerting to maintain accurate and available production data. - Analyze and troubleshoot data issues and assist with their resolution. ...

... crop routines . This role will support strategic decision-making through data-driven insights and will be instrumental in managing and analyzing crop and trade data across geographies. Main Responsibilities - Crop Data Management: Collect, clean, and analyze agronomic data from Indian crop routines, especially sugarcane in ...

... relevant, actionable information. • Ensure compliance with data standards and policies. • Support data quality and governance initiatives. • Collaborate with data management and data science teams to enhance data capabilities and innovation. Experience - • 3+ years' experience in data analytics preferably within the energy ...