Job opening - Senior Data Engineer ()1054 in PUNE | Randstad India

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summary

pune, maharashtra
a client of randstad india
contract

reference number
JPC - 79506

job details

Hands-on experience with Pyspark/Java Spark/Scala Spark
Proficient understanding of distributed computing principles
Proficiency with Data Processing: HDFS, Hive, Spark, Scala/Python
Independent thinker, willing to engage, challenge and learn new technologies. ...

Understanding of the benefits of data warehousing, data architecture, data quality processes, data warehousing design, and implementation,

table structure, fact and dimension tables, logical and physical database design, data modeling, reporting process metadata, and ETL processes.

Requirements

Client-facing skills: Solid experience working with clients directly, to be able to build trusted relationships with stakeholders.
In-depth understanding of Data Warehouse, ETL concept and modeling structure principles
Expertise in AWS cloud native services
Hand-on experience in developing data processing task using Spark on cloud native services like Glue/EMR.
Good to have experience Snowflake SQL queries against Snowflake Developing scripts using java scripts to do Extract, Load, and Transform data
Good to have experience with Snowflake utilities such as SnowSQL, SnowPipe, Python, Tasks, Streams, Time travel, Optimizer, Metadata Manager, data sharing, and stored procedures.
Excellent verbal and written communications skills
Ability to collaborate effectively across global teams

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Hands-on experience with Pyspark/Java Spark/Scala Spark
Proficient understanding of distributed computing principles
Proficiency with Data Processing: HDFS, Hive, Spark, Scala/Python
Independent thinker, willing to engage, challenge and learn new technologies.
Understanding of the benefits of data warehousing, data architecture, data quality processes, data warehousing design, and implementation,
table structure, fact and dimension tables, logical and physical database design, data modeling, reporting process metadata, and ETL processes.

Requirements

Client-facing skills: Solid experience working with clients directly, to be able to build trusted relationships with stakeholders.
In-depth understanding of Data Warehouse, ETL concept and modeling structure principles
Expertise in AWS cloud native services
Hand-on experience in developing data processing task using Spark on cloud native services like Glue/EMR.
Good to have experience Snowflake SQL queries against Snowflake Developing scripts using java scripts to do Extract, Load, and Transform data ...

show more

experience
6

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