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| Job Location | Indore |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | Recruitment Services |
| Functional Area | General / Other Software |
| EmploymentType | Full-time |
Experience: 8 - 12 years | No. Of Position: 1Experience:8 12 Years of experience in Software Development with 2- 4 years of experience in Project Management. Having worked in large team and complex projects.Have experience and exposure to project management practice and tools. Having prior BI, Analytics and ETL experience. Hands- on experience modern analytics architecture and toolsRoles & Responsibilities:Good knowledge on Project Planning and Project Tracking at macro level Strong ability to manage and execute on multiple project timelines and prioritiesExperience with Scrum methodology and Agile practices. Should have experience to JIRAStrong leadership, project management skills, time management, and problem solving skillsExperience in customer handling and should have working in different project phases. Experience in requirement gather and task mapping. Experience in effort estimation, project reporting and status tracking. Should have experience in project level budget control, budget and resource management. Internal project status reporting and customer project status reporting. Experience in Business Intelligence (BI), Data warehouse (DW)Clear understanding of Cube, OLAP, OLTP conceptsHands- on experience of Schema design and data modelingShould have clear understanding of DFD and ERDAbility to translate complex data flows/ transformations into sequences of ETL implementation tasksThorough Knowledge of ETL, data quality, data cleansing, and data blending toolsFamiliarity with AWS Data Pipeline a plusProven ability to write and tune SQL queries, Understanding of columnar DBs like Redshift and Actian Vector, and conventional RDBMS like SQL Server, MS SQL, MySQL, etc.Knowledge of one or more OLAP (e.g. Mondrian), reporting and visualization tools (e.g. Tableau, Spotfire, Jaspersoft, QlikView, Looker, DataWatch, Kibana, Apache Zeppelin etc)Ability to understand domain and gain business knowledge quicklyIf Python then, candidate must have used libraries like, Pandas, SciPy, NumPy, Twithon, TwiPy, Anaconda Distribution, etc.Experience in one more structured DBMS: MySQL, SQL Server, Redshift, PostgresExperience in one or more: Dynamo DB, Mongo DB, CassandraExperience of Ingestion, Processing and Visualization of Big Data More than 500 GB, >1 TB is preferredHands- on with Hadoop components like AWS EMR or HDFS, Sqoop, Oozie, HBase, Hive, MapReduce, etc. It is not possible that candidate have all the skills at a time. But these are the basic skills around the Data Engineer position. The candidate should at least be theoretically proficient in all of the above.Working knowledge on one or more: Kafka, Redis, Spark, Solr, ElasticSearch, Storm, Kinesis Strong analytical skills and good problem solving skills.Experience in handling large teams, with good interpersonal skillsSelf- motivated, team player, action- and- results orientedWell organized, good communication and reporting skillsAbility to successfully work under tight project deadlines.,
Keyskills :
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