Full Time - Snowflake Data Engineer - Pittsburgh, PA (1st preference) or NYC, NY (3 Days onsite Per week)

Pittsburgh, PA Pittsburgh PA 15282

Date : Jan-25-24

Full Time - Snowflake Data Engineer - Pittsburgh, PA (1st preference) or NYC, NY (3 Days onsite Per week)

Pittsburgh, PA

Jan-25-24

Work Authorization

US Citizen
GC
H1B
GC EAD, H4 EAD

Preferred Employment

Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire

Job Details

Experience

:

Architect, Senior

Rate/Salary ($)

:

120K/annum

Duration

:

Sp. Area

:

Data Warehousing/ETL

Sp. Skills

:

Data Engineer

Permanent Direct Hire

Direct Client Requirement

Required Skills :

SnowFlake, SQL, Windows Azure, Data Engineer, Kafka, Data Warehousing, ETL, JSON, Python, XML

Preferred Skills :

Snowflake

Domain :

Work Authorization

US Citizen
GC
GC EAD, H4 EAD
H1B

Preferred Employment

Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire

Job Details

Experience

:

Architect, Senior

Rate/Salary ($)

:

120K/annum

Duration

:

Sp. Area

:

Data Warehousing/ETL

Sp. Skills

:

Data Engineer

Permanent Direct Hire

Direct Client Requirement

Required Skills :

SnowFlake, SQL, Windows Azure, Data Engineer, Kafka, Data Warehousing, ETL, JSON, Python, XML

Preferred Skills :

Snowflake

Domain :

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Plainsboro, NJ
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Job Description :

Snowflake Data Engineer

Location:- Pittsburgh, PA (1st preference) or NYC, NY (3 Days onsite Per week)

Must Have:

Snowflake, Azure, ADF, ADLS, Kafka Streaming, Spark, SQL & Query Optimization techniques.

Job Description:

Minimum of 6 to 9 years IT experience in Data warehousing, ETL of which at least 3+ years of experience in Snowflake.
Strong programming language using Snowflake, Snow SQL and Snow PIPE is a must.
Must have good work experience in ADLS, ADF & Data processing in Azure cloud and other RDBMS/appliances.
Experience in handling semi-structured (XML/JSON) data in Snowflake.
Experience in Stages/Kafka Streams/Tasks/External Tables is a mandate.
Experience with Spark, Python, PySpark.
Understanding of RBAC.
Experience in creating Snowflake Procedures/UDFs.
Experience in Query Optimization techniques.
Strong experience in SQL and advanced SQL.
Good to have experience in Azure Storage concepts.

Client : LTIMindtree

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