813 big data testing jobs in Bangalore, India.

... Parameter Measure 1. Analyses data sets and provide relevant information to the client No. Of automation done On-Time Delivery CSAT score Zero customer escalation data accuracy Mandatory Skills: Big Data. Experience: 5-8 Years. Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner ...

... Data Engineering, SQL Unix + Big Data (Hadoop + Hive), Airflow, Datawarehousing, Data modelling and data processing frameworks.- Strong knowledge of SQL and database concepts.- Experience working with large-scale datasets in distributed environments.- Understanding of Data Warehousing concepts and dimensional data modeling.- ...

... participate daily agile / scrum meetings. - Establish and enforce engineering best practices including code quality testing documentation and CI/CD. - Drive data governance quality lineage and compliance across platforms. - Manage vendor relationships and strategic partnerships related to data infrastructure. - Mentor ...

... such as Python Scala Java. Familiarity with big data technologies such as Hadoop Spark or Kafka. Proven experience with unit testing and applying appropriate testing methodologies. Demonstrable experience with CICD including release and test automation tools and processes. Strong understanding of data modeling data warehousing ...

... external schedulers (e.g., Apache Airflow, Azure Data Factory) - Data Quality Assurance: Define and integrate automated data quality rules, validation checks, and testing frameworks (e.g., Great Expectations, Delta Live Tables expectations) directly into pipelines - Big Data handling: Design and implement scalable data ingestion, ...

... external schedulers (e.g., Apache Airflow, Azure Data Factory) - Data Quality Assurance: Define and integrate automated data quality rules, validation checks, and testing frameworks (e.g., Great Expectations, Delta Live Tables expectations) directly into pipelines - Big Data handling :Design and implement scalable data ingestion, ...

... external schedulers (e.g., Apache Airflow, Azure Data Factory) - Data Quality Assurance: Define and integrate automated data quality rules, validation checks, and testing frameworks (e.g., Great Expectations, Delta Live Tables expectations) directly into pipelines - Big Data handling :Design and implement scalable data ingestion, ...

... they don't: numbers you'll present, causal claims, anything you can't verify. You know the difference between a fast answer and a correct one, and you check.- Big data and pipelines: Redshift, Athena, BigQuery, Hive or Spark, plus orchestration.- Real statistical foundations: experiment design, causal inference basics, ...

... support of the firm’s business objectives. Job responsibilities - Design, develop, and maintain big data pipelines ( batch and streaming ) using PySpark/Spark and Databricks . - Lead/own data modelling and solution design for data products, including defining target-state architecture, data flows, and transformation patterns. ...

... Spark | PySpark / https://jobeax.com/link/rvQtoDz2MEe5S7Tx are looking for an experienced Senior Big Data Engineer to design, develop, and optimize scalable big data solutions in an AWS-based https://jobeax.com/link/EG3PG5FSTAqKZnRA Responsibilities : - Design, develop, and maintain scalable big data solutions and data pipelines ...

... Experience with data visualisation tools and libraries such as https://jobeax.com/link/iK3oFfMD52XZxB5V, ggplot2, or equivalent platforms. - Familiarity with NoSQL databases such as MongoDB, Cassandra, or HBase. - Experience with distributed computing and big data technologies such as Hadoop, MapReduce, Hive, and Apache Spark. ...

... real-time processing pipelines using modern big data tools (e.g. Spark Flink Kafka Airflow). - Drive data modeling best practices to ensure consistent extensible data definitions across the organization. - Ensure data quality correctness and completeness through robust monitoring validation and testing strategies. - Mentor ...

... DataStage, Informatica, Spark or related - Familiarity with other languages and concepts: .NET, C#, Python, R, Java, HTML, SSRS, AWS, Azure, Spark, REST APIs, Big Data, ETL, Data Pipelines, Data Modelling, Data Analytics, BI, Data Warehouse, Data Lake or related Accelerate your skills and career within a fast-growing company ...

... a product — building for other engineering teams as your customers. - Familiarity with ChatGPT, Cursor, and other GenAI productivity tools. - Experience with big data platforms and technologies #LI-AB2 A note on AI in our process: Abnormal AI uses AI-assisted tools to help our recruiting team prepare for candidate interviews. ...

... develop, and maintain scalable big data pipelines and processing frameworks.- Build efficient batch and streaming data workflows to process large volumes of data.- Develop data ingestion and transformation processes from multiple source systems.- Optimize Spark jobs and distributed data processing workloads for performance ...

... develop, and implement automation solutions, tools and products to improve operational efficiency, platform reliability, and system scalability. Managing AWS Big Data Cluster. Write clean, efficient, and maintainable code based on business and technical requirements, and support the testing, deployment, and validation ...

... work under pressure and take on additional operational responsibilities. • Proficiency in Microsoft Office applications and SQL. • Experience in VBA/Python is a big plus. rcesium's Personal Data Privacy Notice for Candidates is linked here . Recruiting Security Emails from genuine Arcesium recruiters who are employees of ...

... experimentation infrastructure, and model serving. - Experience working with real-world operational data, including noisy, incomplete, or continuously changing datasets. - Strong experimentation, backtesting, and model evaluation skills. - Experience working with optimization solvers and production-grade Data Science workflows. ...

... preferred. Technical Skills Strong SQL skills for writing complex queries and validations (joins, aggregations, window functions, filters). Hands-on experience testing on at least one data platform such as: Snowflake, Databricks, or other cloud DW/Big Data platforms – experience with Snowflake/Databricks is a plus. Exposure ...

... expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: - Bachelor's degree in computer science, Engineering, Data Science, or a related technical field. - 8+ years of software engineering experience building enterprise-scale applications, platforms, or data-intensive systems. ...