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Big Data Architect
2 weeks ago
Job description :
- The decision-making power for data analysis and he/she should also possess the quality of architecting the massive data
- Should have skills in big data tools and technologies; it includes technologies like the Hadoop, accumulo, MapReduce, Hive, HBase, panoply and redshift
- Overall 10 years of experience as Principal Consultant, Subject Mater Expert working on Big Data Platforms (Hadoop, Map Reduce, NoSQL, Real Time Streaming, Search, Spark, Java ETL platforms)
- Experience with managing and handling very large data repositories, delivering distributed and highly scalable applications
- End-to-end design and build process of Near-Real Time and Batch Data Pipelines; expertise with SQL and Data modeling working in Agile development process
Ability to work with large data sets :
- Big Data involves large data sets, so applicants must be able to work with highly diverse data in multiple types and formats, and sources
Self-starter :
- They must be able to work with minimal supervision
- Ability to quickly prototype, architect and build software using latest/greatest technologies
- Good Customer facing, interpersonal and communication skills
- Experience in addressing non-functional requirement s and large application deployment architectures and concerns such as scalability, performance, availability, reliability, security etc
- Experience in any one or more of the following technologies
- Experience on Hadoop (Apache/Cloudera/Hortonworks) and/or other Map Reduce Platforms
- Experience on Hive, Pig, Sqoop, Flume and/or Mahout
- Experience on NO-SQL HBase, Cassandra, MongoDB (Any one NO SQL would do)
- Experience on Spark, Storm, Kafka (Spark and Kafka is a must)
- Experience around Search Platform Solr, Elastic
- Streaming Data load organizing in Hadoop
- Good background of Configuration Management/Ticketing systems like Maven/Ant/JIRA etc.
- Strong in Shell Scripting programming, Java, EDW platforms
- Knowledge around any Data Integration and/or EDW tools is plus
- Extensive experience with Enterprise Messaging framework (Kafka or RabbitMQ)
- Must be able to provide out of the box solutions when ever required.
Preferred Skills : Data Integration, SQL, NO SQL, CLOUDERA , ADVANCED JAVA
Teamwork abilities :
- The big data architect must be able to work in a team-oriented environment with people of diverse skill sets
Analytical skills :
- It is important that big data architects can analyze complex problems using information provided understand customer requests, and provide the appropriate solution
Data warehousing :
- Strong Data warehousing concepts
- Strong Data Modelling skills (analytical models), preferably with ERWin
- Must have implemented end-to-end DWH projects (discovery, requirements gathering,
- HLD/LLD documentation, development, testing, SIT, UAT, deployment, pre and post prod checks etc)
o Must have worked with Teradata / Greenplum / Synapse / Big Query / Snowflake
Data Integration / Data Engineering:
- Strong logical and analytics abilities in DI/DQ
- Very strong skills in writing logical code for data engineering, which has re-usable capabilities without rework
- Strong knowledge and technical expertise in ETL tools such as Talend / Informatica / Datastage / Pentaho etc.
Data Quality:
- Strong understanding and experience in DQ frameworks
- Must have implemented atleast 2 projects involving end-to-end DQ frameworks
- Very strong skills in writing logical code for data quality, which has re-usable capabilities without rework
Good to Have Skills : EDW Tools experience like Teradata, Netezza etc.
Qualifications and Education Requirements :
Any Degree :
Role : Big Data Engineer
Education :
UG : Any Graduate
PG : Any Postgraduate
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