Description
Position Summary
Data solution delivery team is looking for an experienced Senior Hadoop Developer. Candidate should have indepth knowledge of Hadoop technologies, SQL and ETL processes. Candidate should possess excellent analytical capabilities, get a deep understanding of the data and build co-relation between various data elements/objects. Data solution delivery team is also responsible for ingesting the data from multiple sources, the candidate should be able to support the ingestion process using the big data tools and frameworks.
Primary Skill
Hadoop
Secondary Skill
Python
Tertiary Skill
UNIX/SHELL SCRIPTS
Required Skills
Bachelor's degree in a technical or business-related field or equivalent working experience. 4+ years of experience in data warehousing architectural approaches. Minimum of 4 years in big data. (Cloudera) Sound understanding and experience with Hadoop ecosystem (Cloudera). Able to understand and explore the constantly evolving tools within Hadoop ecosystem and apply them appropriately to the relevant problems at hand. Experience in working with a Big Data implementation in production environment. Must have experience with Big Data technologies like Hadoop, Hive, Spark, python, scala etc. Experience in python and Unix shell scripting. Experience in scheduling tool like Autosys Understanding of Agile methodologies and technologies Sound knowledge of relational databases (SQL) and experience with large SQL based systems. Exposure to and strong working knowledge of distributed systems. Excellent understanding of client-service models and customer orientation in service delivery. Ability to grasp the 'big picture' for a solution by considering all potential options in impacted area. Aptitude to understand and adapt to newer technologies. The ability to work with team mates in a collaborative manner to achieve a mission. Experience in query optimization, performance tuning of the complex SQL queries. Benchmark and debug critical issues with algorithms and software as they arise
Desired Skills
Bachelor's degree in a technical or business-related field or equivalent working experience. 4+ years of experience in data warehousing architectural approaches. Minimum of 4 years in big data. (Cloudera) Sound understanding and experience with Hadoop ecosystem (Cloudera). Able to understand and explore the constantly evolving tools within Hadoop ecosystem and apply them appropriately to the relevant problems at hand. Experience in working with a Big Data implementation in production environment. Must have experience with Big Data technologies like Hadoop, Hive, Spark, python, scala etc. Experience in python and Unix shell scripting. Experience in scheduling tool like Autosys Understanding of Agile methodologies and technologies Sound knowledge of relational databases (SQL) and experience with large SQL based systems. Exposure to and strong working knowledge of distributed systems. Excellent understanding of client-service models and customer orientation in service delivery. Ability to grasp the 'big picture' for a solution by considering all potential options in impacted area. Aptitude to understand and adapt to newer technologies. The ability to work with team mates in a collaborative manner to achieve a mission. Experience in query optimization, performance tuning of the complex SQL queries. Benchmark and debug critical issues with algorithms and software as they arise
