About Us: Paytm is Indias leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is
We are seeking a talented Data Scientist with competency in Data Engineering capabilities to design, build, and deploy some advanced analytical solutions across a range of environmental sectors. This role is ideal for a professional who can develop
ABOUT XAPADS MEDIA: Xapads Media, which started as a garage start-up in 2008, is now an Ad-Tech conglomerate, headquartered in India, with 9 offices in 6 countries, with a 200+ strong team, offering 360* Digital Marketing
Role - Lead Data Scientist About Us: Paytm is Indias leading digital payments and financial services company, revolutionizing how millions transact and access financial services. Were at the forefront of the digital revolution, empowering businesses and individuals
Understand and translate business needs into data models supporting long-term solutions. Work with the Application Development team to implement data strategies, build data flows and develop conceptual data models. Create and maintain conceptual, logical and physical data models using best practices
Design, develop, test, and deploy data integration processes (batch or real-time) using tools such as Microsoft SSIS, Azure Data Factory, Databricks, Matillion, Airflow, Sqoop, etc. Create functional & technical documentation – e.g. ETL architecture documentation, unit testing plans
Design, develop, test, and deploy data integration processes (batch or real-time) using tools such as Microsoft SSIS, Azure Data Factory, Databricks, Matillion, Airflow, Sqoop, etc. Create functional & technical documentation – e.g. ETL architecture documentation, unit testing plans
The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles,
Position Overview:We are seeking a skilled Data Engineer to design and build scalable data platforms that power analytics, reporting, and business-critical insights. You will develop high-performance batch and streaming data pipelines, optimize ETL/ELT workflows, and manage large-scale analytical databases
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the
Company Description Were Nagarro, we are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and
Line of ServiceAdvisory Industry/SectorNot Applicable SpecialismData, Analytics & AI Management LevelSenior Associate Job Description & SummaryAt PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced
Role Overview As a Manager – Databricks & Snowflake Data Engineering, you will lead a team of data engineers responsible for designing, building, and maintaining scalable data platforms and pipelines. You will work closely with business stakeholders, architects, analytics
Candidate should have: • Experience designing, developing, and testing applications using proven or emerging technologies, in a variety of technologies and environments. • Experience in using and tuning relational databases (Azure SQL Datawarehouse and SQL DB,
• Azure Data Factory • Azure Databricks • Python, Scala, PySpark, Spark • HIVE / HIVE LLAP / HBASE / CosmoDb • Azure Active Directory Domain Services • Apache Ranger / Apache Ambari • Azure Key Vault
• Experience with Hadoop and the HDFS Ecosystem • Strong Experience with Apache Spark, Storm, Kafka is a must. • Experience with Python, R, Pig, Hive, Kafka, Knox, Tomcat and Ambari • Experience with MongoDB •
• As an individual contributor, design modules, apply creative problem-solving using tools and technologies. • As individual contributor code and test modules. • Interact and collaborate directly with software developers, product managers, and business analysts to
• Building efficient storage for structured and unstructured data • Transform and aggregate the data using data processor technologies • Developing and deploying distributed computing Big Data applications using Open Source frameworks like Apache Spark, Apex, Flink, Nifi, and Kafka on