Main responsibilities: + Management of a growing technical team + Continued technical Architecture design based on product roadmap + Annual performance reviews + Work with DevOps to design and implement the product infrastructure Strategic: + Testing strategy + Security policy + Performance and performance testing policy + Logging policy Experience: + 9-15 years of experience including that of managing teams of developers + Technical & architectural expertise, and have evolved a growing code base, technology stack and architecture over many years + Have delivered distributed cloud applications + Understand the value of high quality code and can effectively manage technical debt + Stakeholder management + Work experience in consumer focused early stage (Series A, B) startups is a big plus Other innate skills: + Great motivator of people and able to lead by example + Understand how to get the most out of people + Delivery of products to tight deadlines but with a focus on high quality code + Up to date knowledge of technical applications
Do NOT apply if you are :- Want to be a Power Bi, Qlik, or Tableau only developer.- A machine learning aspirant- A data scientist- Wanting to write Python scripts- Want to do AI - Want to do 'BIG' data- Want to do HADOOP- Fresh GraduateApply if you :- Write SQL for complicated analytical queries . - Understand existing business problem of the client and map their needs to the schema that they have.-Can neatly disassemble the problem into components and solve the needs by using SQL. - Have worked on existing BI products.Develop solutions with our exciting new BI product for our clients.You should be very experienced and comfortable with writing SQL against very complicated schema to help answer business questions.Have an analytical thought process.
candidate will be responsible for all aspects of data acquisition, data transformation, and analytics scheduling and operationalization to drive high-visibility, cross-division outcomes. Expected deliverables will include the development of Big Data ELT jobs using a mix of technologies, stitching together complex and seemingly unrelated data sets for mass consumption, and automating and scaling analytics into the GRAND's Data Lake. Key Responsibilities : - Create a GRAND Data Lake and Warehouse which pools all the data from different regions and stores of GRAND in GCC - Ensure Source Data Quality Measurement, enrichment and reporting of Data Quality - Manage All ETL and Data Model Update Routines - Integrate new data sources into DWH - Manage DWH Cloud (AWS/AZURE/Google) and Infrastructure Skills Needed : - Very strong in SQL. Demonstrated experience with RDBMS, Unix Shell scripting preferred (e.g., SQL, Postgres, Mongo DB etc) - Experience with UNIX and comfortable working with the shell (bash or KRON preferred) - Good understanding of Data warehousing concepts. Big data systems : Hadoop, NoSQL, HBase, HDFS, MapReduce - Aligning with the systems engineering team to propose and deploy new hardware and software environments required for Hadoop and to expand existing environments. - Working with data delivery teams to set up new Hadoop users. This job includes setting up Linux users, setting up and testing HDFS, Hive, Pig and MapReduce access for the new users. - Cluster maintenance as well as creation and removal of nodes using tools like Ganglia, Nagios, Cloudera Manager Enterprise, and other tools. - Performance tuning of Hadoop clusters and Hadoop MapReduce routines. - Screen Hadoop cluster job performances and capacity planning - Monitor Hadoop cluster connectivity and security - File system management and monitoring. - HDFS support and maintenance. - Collaborating with application teams to install operating system and - Hadoop updates, patches, version upgrades when required. - Defines, develops, documents and maintains Hive based ETL mappings and scripts