S2S Soft is a Global IT Solutions and Services company with unmatched expertise spread across various Industrial Internet like IT Staff, Document Management, Software Development, Mechanical Design and Independent Software Vendors. Our clients have relied on us for providing Technology initiatives and support for their business processes in the areas of Enterprise Application Management, Custom Application Management, Business Intelligence & EAI, Infrastructure Management & Security and Quality Assurance & Testing Services.
S2S Soft understands the unique challenges faced by various industries. Through hands on experience earned from different client engagements, we enable our customers to address their challenges with tailor made solutions best suited to their present systems. With a firm eye on Return on Investments of our customer, we conceive, build and deploy solutions that are robust, scalable and yet flexible.
We partner with our clients on their long-term initiatives by providing real value while demonstrating high level of professionalism and ethics metus.
Please send your resume to for immediate consideration
Role: Hadoop Hive Developer / Lead
Santa Clara, CA / Chicago, IL
Strong in Hive and Impala query languages
Data Warehousing skills such a creating and maintaining data models
Ability to troubleshoot long running Hive/Impala queries and optimize the performance (prior experience in this is a must)
Hands on experience in Python with good coding standards
Experienced in GIT, Jenkins and Jira platforms
Expertise in shell scripting
Hands on experience in Apache Spark
Experience in developing ETL scripts using Python, PySpark and shell scripts
Job scheduling with cron ii
Experience in Cloudera Enterprise Platform and components Added Advantage
Prior experience in SAP to Hadoop data migration
Experience/knowledge in Attunity
Experience/knowledge with AtScale
Experience/knowledge with RedWood
Experience/knowledge in Solr indexing Solr Hadoop integration
If your skills match these requirements, please send your resume to for immediate consideration.
Please be assured that your resume will be reviewed and you will be contacted if there is an interest in your background and experience. Candidates should e-mail resume to address above. Be sure to reference the job number and title in the subject line.
Hadoop, Hive, Apache, Spark