• Us Citizen

• Green Card

• EAD (OPT/CPT/GC/H4)

• H1B Work Permit

• Corp-Corp

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 27th Aug 2021

Will be responsible to work with business stakeholders and cross functional teams to identify data requirements.
Excellent analytical and conceptual thinking skills
Good knowledge on Data architecture and dimensional modelling
will be reposible to designing and building data pipelines to assemble large, complex data sets from source that meet functional / non-functional business requirements into the data lake and data warehouse.
Will be responsible for triaging defects and implement solutions to address any issues in the data pipelines.
Will also build the data flow orchestration to schedule the data pipelines.
1. Minimum 5+ years of experience in creating SPARK Jobs using Java/Scala
2. Should have very good experience in dimension modelling
3. Should have good knowledge on DW (SCD-1, SCD-2)
2. Should have very good experience in developing data loading and transformation tasks using external sources, merge data, perform data enrichment and load in to target data destinations
3. Must have good knowledge on Big data tools HIVE and HBASE tables
4. Should have experience on Spark Streaming
5. Must have good knowledge on SQL

6. Must have good knowledge on Data warehouse concepts
7. Must have good analytical skills to analyse the issue
8. Should have Hands-on Unix/Linux knowledge
9. Knowledge on AWS, GCP, PySpark will be will be an advantage

Key Skills: Scala, Spark, SQL, Data Modeling, Redshift, Postgress, Kafka. AWS/GCP experience would be a value add