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SnowFlakes with DataStage ETL Tool Experience || Remote at Remote, Remote, USA
Email: [email protected]
Greetings from 
Shrive Technologies LLC
!!

Shrive Technologies LLC
is an IT Development & IT Staffing firm with more than a
decade of experience in providing IT Staffing Solutions & Services. Our
expertise is in sourcing and deploying highly skilled IT Specialists into
mainstream and niche technologies to meet clients Temporary, Permanent &
SOW project needs.

Role :
 SnowFlakes with DataStage ETL Tool
Experience

Location: Remote

Duration: Long term

Mandatory
Skills : Snowflake, ETL, DataStage

JOB Description:

This role involves design and
development of new functionality and capabilities into the enterprise data
platform as well as ongoing support / maintenance of existing data pipelines.
Successful candidate will work closely with cross functional teams / stakeholders,
and be responsible for ongoing and new developments on DataStage and Snowflake
Cloud Data platform as well as the day-to-day operational support aspects. The
candidate should also have strong communication skills and be able to
collaborate with technical and non-technical partners and senior management
stakeholders.

10+ year of IT Industry experience in
Data Engineering role

Proficiency in Snowflake Cloud Data
Platform and familiarity with AWS /Azure cloud platform

Strong leadership quality and able to
handle a team of 5 - 10 resources

Ability to provide technical guidance to
data engineering team for data pipeline design and enhancements

Strong experience in ETL with Data
migration, data consolidation

Hands-on experience in ETL data loading
around event and messaging patterns, streaming data, Kafka , API

Understanding of fundamentals of DevOps
CI/CD, Git and Git workflows and SAAS-based Git tools like GitHub, GitLab,
Bitbucket

Experience of working in agile
application development environment

Ability to proactively prioritize tasks
in consultation with business stakeholders, Product Owners, Product
Managers

Design, Build, Deploy and Support
DataStage ETL jobs to extract data from disparate source systems,
transform, and load data into EDW for data mart consumption, self-service
analytics, and data visualization tools.

Ensure data quality, efficient
processing, and timely delivery of accurate and trusted data.

The ability to design, implement and
optimize large-scale data and analytics solutions on Snowflake Cloud Data
Warehouse is essential.

Establish ongoing end-to-end monitoring
for the data pipelines.

Strong understanding of full CI/CD
lifecycle.

Convert business requirements to
technical solution

Ensure adherence to architectural
guidelines, strategic business needs

Technical feasibility analysis,
recommendations and effort estimation

Provide operational instructions for dev,
QA, and production code deployments while adhering to internal Change
Management processes.

Performance optimization

QA support

Automation

Must Haves:

Total of 5+ years in data engineering
role with 2+ years of recent experience with  Snowflake.

Extensive experience in design,
development and support of complex ETL solutions

Ability to design and implement highly
performant data ingestion pipelines from multiple sources using DataStage,
SnowPipe, SNOWSQL.

In-depth knowledge of SnowPipe, SNOWSQL,
stored procedures

Experience in DataStage and Snowflake
performance optimization

Hands-on development experience with
Snowflake data platform features including Snowpipes, SnowSQL,tasks,
stored procedures, streams, resource monitors, RBAC controls, virtual
warehouse sizing, query performance tuning, cloning, time travel, data
sharing and respective use cases.

Advanced proficiency in writing complex
SQL statements and manipulating large structured and semi-structured
datasets.

Build processes supporting data
transformation, data structures, metadata, dependency and workload
management.

Demonstrable experience designing and
implementing modern data warehouse/data lake solutions with an
understanding of best practices.

Good to Have:

Valid professional certification

Experience in Python and BigData Cloud
platform

Expertise in Unix & Shell Scripting

Excellent verbal and written
communication and interpersonal skills

Confidence and agility in challenging
times

Ability to work collaboratively with
cross-functional teams in a fast-paced, team environment

Please
provide the below details for
submission along with Visa copy & Photo ID copy, I94/Passport#

Candidate
Details

Candidate
Full Name  (As per SSN)

Current
location (City and State)

Open for
relocation to work location (Yes/No)

Contact/Phone
#

E-mail
Address

Skype ID

Visa Type
Visa Validity (Month & Year) /Work Authorization  

Date of Birth
(Month & Year Only)

Passport
Number

SSN( Last 4
Digits)

Bachelors details (University
/College & Passing year)

Masters details (University/College
& Passing year)

Total IT
experience (Years)

Onsite
[USA/Canada] Experience (Years)

LinkedIn
Profile

Reason for
Job Change

Availability
to join post selection

Interview availability
(Preferred time slots for next 3 days)

--

Thanks & Regards,

Naren

Email: [email protected]

--

To post to this group, send email to [email protected].

Keywords: continuous integration continuous deployment quality analyst information technology Idaho
[email protected]
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Fri Oct 27 18:57:00 UTC 2023

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