2,318 ntt data jobs in India.

... transaction-level data modeling, data quality, auditability, data lineage, and production pipeline ownership, preferably within finance, risk, or compliance data https://jobeax.com/link/cZ8zpMXwj45ivho4 Responsibilities : - Own data architecture and system design decisions for data pipelines and data models.- Design and ...

... Ensure the reliability, scalability, and efficiency of data pipelines for ingestion, transformation, and storage. Work with cross-functional teams to understand data needs and deliver high-quality solutions. Troubleshoot and resolve data pipeline issues in production environments. Apply data quality and governance best practices, ...

... Own end-to-end delivery of data products—from raw source data ingestion through transformation to governed, consumption-ready datasets. Collaborate with the Data Platform team on pipeline integration, CI/CD workflows, and adherence to shared coding and deployment standards. - Data Quality & Analysis: Implement data quality ...

... & Data Platform. You’ll design and maintain reliable, secure, and scalable data pipelines and models that power a new generation of reporting, insights, and data-driven products across the StarRez ecosystem. This role sits at the intersection of data, product, and engineering. You will work closely with Data Analysts, ...

... of our transformation, we know that data is at the center of everything that we do. We seek a dedicated professional to help take us to the next level of our Data & Analytics journey. We depend on our Data Analysts to investigate data seeking opportunities to reduce duplicates, improve the quality and discover anomalies ...

... to leadership- Align practice goals with overall company strategyJob Summary : - 16+ years of experience in Data & Analytics / Data Engineering / Enterprise Data Management- Proven experience in leading large teams and managing P&L- Strong understanding of cloud data platforms (Azure, AWS, GCP) and modern data architectures- ...

... MAKE AN IMPACT Job Title: Data Engineer _DEPS Experience: 3–5 Years Location: Bangalore and Pune (Hybrid – Client Office) Job Summary: Seeking a skilled Senior Data DevOps Engineer having experience in Cloudera platforms, data engineering, and DevOps automation. The ideal candidate will manage and optimize Cloudera environments, ...

... Data Engineer to drive our mission to unlock potential of data assets by consistently innovating, eliminating friction in how users access data from its Big Data repositories and enforce standards and principles in the Big Data space. The candidate will be part of an exciting, fast paced environment developing Data Engineering ...

... efficient code using Scala and Spark - Work with Azure or on-premises Hadoop ecosystem for data processing - Solve real-world engineering problems related to data infrastructure - Collaborate with cross-functional teams to deliver data-driven solutions - Ensure data quality, reliability, and performance across data systems ...

... 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.

We are seeking an experienced Lead Data Analyst to work on large-scale Energy & Utilities datasets. The ideal candidate will be responsible for analyzing tariff and pricing data, building data models, automating workflows, and delivering actionable insights to support business decisions.Role: Lead Data AnalystExperience: ...

... powering self-serve analytics. Write performant Spark/PySpark and SQL; optimize partitioning, storage formats, and query cost. Data Quality & Reliability (10%) Own data quality: validation, freshness/SLA monitoring, and observability so bad data is caught before it reaches consumers. Make the data layer debuggable: lineage, tests, ...

... migration and modernisation programmes at enterprise scale. Experience with database upgrade, migration, and decommissioning strategies. Strong understanding of data migration tools, schema conversion, data validation, and migration testing approaches. Knowledge of additional database technologies including MariaDB, MongoDB, ...

Lead Data Engineer

... deploying complex data architectures within Microsoft Fabric and the broader Azure ecosystem.- Advanced proficiency in Python and SQL for building sophisticated data processing pipelines and complex analytical models.- Strong background in data engineering principles, including ETL/ELT design, data modeling, and performance ...

... high-volume data applications. Who Should Apply This role is suited to data engineers who have practical experience working with large-scale datasets and distributed data systems. You should be comfortable moving between pipeline development, database optimization, data processing, infrastructure reliability, and data governance. ...

... high-volume data applications. Who Should Apply This role is suited to data engineers who have practical experience working with large-scale datasets and distributed data systems. You should be comfortable moving between pipeline development, database optimization, data processing, infrastructure reliability, and data governance. ...

... Docker, Cloud-Native Infrastructure, CI/CD pipelines. Industry Context: Data engineering experience in Banking Risk, Retail Products, Cards, Mortgage, Deposits, or Wealth Management. Assumed Requirements / Certifications: Databricks Certified Data Engineer, AWS Certified Data Analytics, or Azure Data Engineer Associate.

... contract and the Sponsor’s expectations. Core Responsibilities • Acts as Functional Lead for Data Management including primary contact for internal liaison between Data Management/Operations and Project Management, Clinical Monitoring, and other functional groups • Coordinate the work of the assigned Data Management/Data Operations ...

... working with large datasets. Experience building dashboards and reporting using tools such as Hex, Looker, Tableau, Power BI, or similar. Familiarity with modern data warehouses and transformation tools such as Snowflake, BigQuery, Databricks, or similar. Strong understanding of data modeling, data quality, reconciliation, ...