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SnowFlakes with DataStage ETL -Florida at Florida, New York, USA
Email: [email protected]
From:

Kowsalya.A,

IDC

[email protected]

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Hello, 

Hope you are doing great.

We have an opening for the position of  SnowFlakes with DataStage ETL -Florida Contract position for our clients, Kindly read the job description and let me know your interest.

Mandatory Skills    Snowflake, ETL, DataStage

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.

Keywords: continuous integration continuous deployment quality analyst information technology
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Fri Oct 27 19:14:00 UTC 2023

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