• 10+ years experience in software development using Core Java and 5 + years experience in technologies (Hadoop, Spark, and Big Data platforms, RBDMS, NoSQL) • Advanced SQL capabilities are required. • Good Knowledge of database design techniques
• Hands-on experience in any one of the programming languages – Python (preferred), Java, Scala, and non-procedural language such as SQL. • Experience with data science and machine learning is a plus. • Experience working with large
Candidate should have: • Sound knowledge of relational databases (SQL) and experience with large SQL-based systems. • Experience with Java and shell scripting • Excellent analytical capabilities - Strong interest in algorithms • Proven understanding and experience
Candidate should be able to: Coordinate Development, Integration, and Production deployments. Optimize Spark code, Impala queries, and Hive partitioning strategy for better scalability, reliability, and performance. Build applications using Maven, SBT and integrated with continuous integration
LUMIQ is the leading Data and Analytics company in the Financial Services and Insurance (FSI) industry. We are trusted by the worlds largest FSIs, including insurers, banks, AMCs, and NBFCs, to address their data challenges. Our
Developing quality software that is used by some of the worlds largest technology firms, fixed income asset managers, and custodian banks Participate in Agile meetings to contribute with development strategies and product roadmap Owning critical processes
Description Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences. We’re passionate about empowering people
Data Engineering – Technical Lead About Us: Paytm is India’s leading digital payments and financial services company, which is focused on driving consumers and merchants to its platform by offering them a variety of payment use
JOB DETAILS 1.Experience in Big Data technologies and working exposure in at least one cloud platform on related data services (AWS / Azure / GCP) 2.Hands-on experience with the Hadoop stack – HDFS, sqoop, kafka, Pulsar, NiFi,
• 2 to 5 years hands-on Experience on Spark Core, Spark-SQL, Scala-Programming, and Streaming datasets in Big Data platform • Should have extensive working experience in Hive and other components of the Hadoop ecosystem (HBase, Zookeeper, Kafka,
Candidate should be able to: Work closely with our QA Team to ensure data integrity and overall system quality Work closely with Technology Leadership, Product Managers, and Reporting Team for understanding the functional and system requirements
Ready to shape the future of work? At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is
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
• Excellent Knowledge and expertise in 2 or more of the following areas: Statistical Modelling, Machine Learning, Operations Research, Neural Networks, Deep Learning • Hands-on Experience in coding on Python, Java, R, or SAS • Strong programming
Job Summary: A Sr. Software Development Engineer to join our innovative team focused on building a comprehensive technology platform for investment reporting, accounting, and analytics. In this role, you will engage in all phases of the
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
• 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,
JOB DETAILS 1. Proficiency in databases such as MongoDB. Experience in working with data vendor API’s such as Bloomberg, ThomsonReuters, etc 2. Knowledge of Cloud Computing platforms such as AWS, Hadoop, etc 3. Able to think independently
Brief Job Description: Handling academics of franchise centers. Training deliveries in technologies like Java, Big Data, Python, Hadoop & .Net. Supporting & providing technical staff to the franchisee centers. Faculty evaluation & faculty training need analysis. Portfolio development