3,689 data analyst jobs in India.

... ETL Tool ONLY amongst Talend Datastage Informatica ISS Cloud version Data Fusion Data Flow Data Proc Mandatory SQL PLSQL Scripting Experience Expert in Python Data Flow Pubsub Big Query CICD Must have good Experienceknowledge on GCP components like GCS BigQuery AirFlow Cloud SQL PubSubKafka DataFlow and Google Cloud SDK ...

... Data Platform & Orchestration is seeking a Lead Data Engineer to design and build next-generation, cloud-native data platforms supporting Mastercard's global data ecosystem. In this role, you will lead the development of scalable batch and real-time data pipelines, enabling efficient data processing across Data Lakes and ...

... senior leader in the data engineering team, you will set the standards for best practices and will be a mentor to other data engineers. Define and lead enterprise data architecture strategy with strong focus on Azure-based modern data platforms and Lakehouse architecture. Architect, design, and optimize scalable Data Warehouse ...

... and operational efficiency. Identify and resolve performance bottlenecks across data pipelines, queries, Spark jobs, and Databricks workloads. Collaborate with data architects, analysts, application teams, and other stakeholders to deliver scalable data solutions. Follow best practices for data security, governance, testing, ...

... time, detect data or concept drift, and provide timely, actionable feedback for retraining or recalibration as needed. - analyze and interpret large, complex datasets from distributed databases to generate and provide valuable actionable insights to stakeholders using big data technologies like scala-spark/pyspark. - drive ...

... in regulated industries (Pharma, Life Sciences, Banking). Design, build, and maintain scalable data pipelines supporting AI and GenAI use cases Work on modern data platforms (data lakes, lakehouse, streaming, Event hub like Kafka, containers, K8s) Enable high-quality, compliant data for analytics, ML, and GenAI workloads ...

... & Cloud Data Platforms • Data Architecture & Modelling • Collaboration & Best Practices • Quality & Governance Business Relationships • Solution Architects • Data Engineers, Developers, and Analysts • Client stakeholders up to Head of Data Engineering, Data Architect, and BI leadership levels Competencies / Critical Skills ...

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. Must have skills : Amazon Web ...

... Experience : +6yrs About the Role We are looking for an experienced GCP Data Engineer to design, develop, and optimize scalable data pipelines and cloud-based data solutions on Google Cloud Platform. The ideal candidate should have strong hands-on experience in GCP Data Engineering, BigQuery, Dataflow, Dataproc, Python/PySpark, ...

... customers. As a Data Scientist at Amazon Prime Video APAC and ANZ analytics team, you will have the opportunity to work on one of the world's largest consumer data sets, influence the long term evolution of our analytics capability and support the expansion of Amazon's digital video business. The Data Scientist will work ...

... and maintain high-throughput, low latency systems that process 100s of millions of events per day to enable detection to identify notable events. - Establish data pipelines that ensure our data is updated regularly and reliably - Enhance our frameworks to allow us to make changes to our APIs and datasets in an agile manner ...

... to have) Version control: Git / GitHub Cloud exposure: AWS, Azure, or GCP Data platforms: Snowflake / BigQuery / Redshift (preferred) Understanding of ETL and data pipelines Business & Domain Exposure: Ability to convert business problems into data-driven solutions Experience working with large, real-world datasets Strong ...

... closely with sales and external stakeholders, forge partnerships through effective negotiation, demonstrate strong ownership, excellent communication skills, data analyst and a commercial executive mindset. No relocation assistance is offered for this position Develop and implement marketing plans (including activations) ...

... development, tools, and procedures; Provide end-user support including setup, installation, and maintenance for applications. Bachelor's Degree in Computer Science, Data Science, or a related field; Internship experience in Data or Software Engineering; Knowledge of developing dimensional data models and awareness of the advantages ...

... environments. Database Advanced SQL Server expertise. Query tuning and performance optimization. Data modeling (star schema, dimensional modeling). Cloud and modern data platforms Azure Data Factory, Fabric, Synapse, Databricks, or similar platforms. Experience with modern data lake and warehouse architectures. Data orchestration ...

... with vendors and other IT personnel for problem resolutio Proven hands-on network engineering experience of 6 – 8 Yr Cloud Networking – AWS & Azu reCisco Nexus datacenter Family switche network analytics too ob:You are proficient at managing networks. We have vast networks as a large technology company that specializes in ...

Role Summary Our Case Managers deliver a superior customer experience to the distribution channels—agents and agencies—by ensuring life insurance applications are processed with speed, accuracy, and a strong commitment to service.

... capacity within manufacturing, trading or the consumer goods industry. • Strong analytical and problem-solving skills, with mid-to-advanced proficiency in Excel and database or visualization tools such as Databricks, Tableau or Power BI. • Proven verbal, written and graphical communication skills in English with strong influencing ...

... and data profiling findings to both technical and leadership https://jobeax.com/link/qD1PXku8V3HtzrrZ :- Experience: 5+ years in data engineering, with deep data warehousing exposure at scale.- SQL and BigQuery: Expert-level SQL; hands-on BigQuery optimization (partitioning, clustering, slots, cost).- Data Modelling: Strong ...

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