Minimum qualifications: Bachelors degree in Computer Science, Mathematics, a related field, or equivalent practical experience. 5 years of experience with data processing software (e.g., Hadoop, Spark, Pig, Hive) and algorithms (e.g., MapReduce, Flume). Experience managing client-facing projects,
At eBay, were more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re
Job Description: The Technology Foundations, Data and Transformation Solutions (DTS) team provides ETL solutions and data to BI applications, products, and services. We are looking for an experienced Big Data Developer who loves solving complex problems
Job Title:Software development Engineer - Java | Hadoop | Apache Spark | AWS | 3y to 5y About Skyhigh Security: Skyhigh Security is a dynamic, fast-paced, cloud company that is a leader in the security industry.
At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and
JD Responsibilities: Design and Development: Design, develop, and maintain Hadoop applications, including data ingestion, processing, and storage. Data Processing: Develop and optimize Hadoop MapReduce jobs, Hive queries, and Pig scripts for data processing and analysis. Data Management:
TCS is conducting a walk in drive on 13th June in Bangalore. Please apply if you are available for the drive. Role - Big Data and Hadoop Developers /Leads Experience - 5 to 15 years Joining
Exp: 14-18 yrs Notice: Immediate to 30 Days Skills Required: at least 3 years’ experience in Architecture Role: GCP Architect Primary Roles and Responsibilities: ? Selecting and integrating any Big Data tools and frameworks required to
Job Title: Data Engineer Duration: 6 months Location: Bangalore Key Responsibilities Design, develop, and maintain scalable Big Data solutions using Hadoop ecosystem technologies such as HDFS, MapReduce, Hive, Pig, HBase, Sqoop, Flume, and Cassandra. Write, optimize, and
Role : DataOps Lead Exp : 8 -12 Years Location : Bengaluru - Whitefield Mode : Hybrid . Immediate Joiners preferred. About the role : As a Dataops Lead, you will be responsible for managing, design
Job Title: Senior Data Engineer location: Bangalore (Offshore) Duration: 3 Months Role Summary We are seeking an experienced Senior Data Engineer to lead the design, development, and delivery of large-scale Big Data solutions. The ideal candidate
Overview About Business Unit: The Product team forms the crux of our powerful platforms and helps connect millions of customers worldwide with the brands that matter most to them. This team of innovative problem solvers develops
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
• 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
Role: Team Lead – Data Engineer (Python, PySpark, SQL) Experience: 10–17 Years Responsibilities: Align with key client initiatives and interface daily with customers across leading Fortune 500 companies to understand strategic requirements Ability to understand business
Role: Solution Architect (Engineering) Experience: 10 to 14 years Location: Bangalore Notice Period: Immediate to 30 days Budget - max 55 LPA Job Description : As a Solution Architect, you’ll have an opportunity to work closely
Description It is mandatory to apply with a Cv in English Join the team behind iconic brands like Huggies®, Kleenex®, Cottonelle®, Scott®, Kotex®, Poise®, Depend®, and Kimberly-Clark Professional® At Kimberly-Clark, it’s all here for you—innovation, growth,
Join the Amazon Payments Products - Data Engineering team, where we build the data infrastructure powering Amazons credit card businesses. Our team delivers data-driven solutions that impact millions of customers across Amazons payment ecosystem. Were a
Overview About Business Unit: The Product team forms the crux of our powerful platforms and helps connect millions of customers worldwide with the brands that matter most to them. This team of innovative problem solvers develops