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Data Engineer || Remote 100% || No H1B,CPT,OPT at Remote, Remote, USA

http://bit.ly/4ey8w48
https://jobs.nvoids.com/job_details.jsp?id=926610&uid=

From:

Ankit Chauhan,

KPG99

[email protected]

Reply to:   [email protected]

POSITION:                           Data Engineer

LOCATION:                         Remote 100%

DURATION:                        6-12 months

INTERVIEW:                       Video

VISA:                                     No H1B,CPT,OPT

REQUIRED SKILLS

Must have these skills on resume to be submitted:

             Senior level candidates

             Azure cloud

             Snowflake

             Power Bi and MicroStrategy

             Some experience on DBT

Data Engineering (Data Technologies)

The Data Engineer plays a critical role in engineering of data solutions that support Ross reporting and analytic needs. As a key member of the Data engineering team, Data Engineer will work on diverse data technologies such as Azure Cloud, Snowflake, Streamsets, dbt, Starburst, data ops, data observability and others to build insightful, scalable, and robust data pipelines that feed our various analytics platforms.

Job Description

1.        Architect, Design and Develop data engineering pipelines that support Ross reporting and analytic needs.

2.       Engineer efficient, adaptable, and scalable data pipelines for moving data from different sources into our Cloud Lakehouse

3.       Understand and analyze business requirements and translate into well-architected solutions that demonstrate the modern BI & Analytics platform.

4.      Be a part of data modernization projects providing direction on matters of overall design and technical direction, acts as the primary driver toward establishing guidelines and approaches.

5.       Develop and deploy performance optimization methodologies.

6.      Drive timely and proactive issue identification, escalation & resolution.

7.       Collaborate effectively within Data Technology teams, Business Information teams to design and build optimized data flows from source to Data visualization.

Requirements:

1.        10+ years in-depth data engineering experience and execution of data pipelines, data ops, data observability, scripting and SQL queries

2.       5+ years proven data architecture experience - must have demonstrable experience with data architecture, accountable for data standards, designing data models for data warehousing and modern analytics use-cases (e.g., from operational data store to semantic models)

3.       At least 3 years experience in modern data architecture that support advanced analytics including Snowflake, Azure, etc. Experience with Snowflake and other Cloud Data Warehousing / Data Lake preferred.

4.      Expert in engineering data pipelines using various data technologies ETL/ELT, big data technologies (Hive, Spark) on large-scale data sets demonstrated through years of experience.

5.       5+ years hands on data warehouse design, development, and data modeling best practices for modern data architectures

6.      Bachelors degree in computer science, Information Systems, Engineering, Business Analytics, Business Management

7.       Highly proficient in at least one of these programming languages: Java, Python

8.      Experience with modern data modelling tools, data preparation tools

9.      Experience with adding data lineage, technical glossary from data pipelines to data catalog tools.

10.    Highly proficient in Data analysis analyzing SQL, Python scripts, ETL/ELT transformation scripts.

11.     Highly skilled in data orchestration with experience in tools like Ctrl-M, Apache Airflow. Hands on DevOps/Data Ops experience required.

12.    Knowledge/working experience in reporting tools such as MicroStrategy, Power BI would be a plus.

13.    Self-driven individual with the ability to work independently or as part of a project team.

14.    Experience working in an Agile Environment preferred, Familiarity with Retail domain preferred.

15.    Experience with Streamsets, dbt preferred.

16.    Strong communication skills are required with the ability to give and receive information, explain complex information in simple terms and maintain a strong customer service approach to all users.

Ankit Chauhan| Technical Recruiter | KPG99,INC

Direct:
201-817-1592
|
[email protected]

|
https://kpg99.com/

LinkedIn ID

:
linkedin.com/in/ankit-chauhan-a035431a7

3240 E State St EXT , Hamilton, NJ 08619

An E- Verified Company

Keywords: business intelligence Idaho New Jersey
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ankit@kpgtech.com wrote:
From:

Ankit Chauhan,

KPG99

ankit@kpgtech.com

Reply to:   ankit@kpgtech.com

POSITION:                           Data Engineer

LOCATION:                         Remote 100%

DURATION:                        6-12 months

INTERVIEW:                       Video

VISA:                                     No H1B,CPT,OPT

REQUIRED SKILLS

Must have these skills on resume to be submitted:

Senior level candidates

Azure cloud

Snowflake

Power Bi and MicroStrategy

Some experience on DBT

Data Engineering (Data Technologies)

The Data Engineer plays a critical role in engineering of data solutions that support Ross reporting and analytic needs. As a key member of the Data engineering team, Data Engineer will work on diverse data technologies such as Azure Cloud, Snowflake, Streamsets, dbt, Starburst, data ops, data observability and others to build insightful, scalable, and robust data pipelines that feed our various analytics platforms.

Job Description

1.        Architect, Design and Develop data engineering pipelines that support Ross reporting and analytic needs.

2.       Engineer efficient, adaptable, and scalable data pipelines for moving data from different sources into our Cloud Lakehouse

3.       Understand and analyze business requirements and translate into well-architected solutions that demonstrate the modern BI & Analytics platform.

4.      Be a part of data modernization projects providing direction on matters of overall design and technical direction, acts as the primary driver toward establishing guidelines and approaches.

5.       Develop and deploy performance optimization methodologies.

6.      Drive timely and proactive issue identification, escalation & resolution.

7.       Collaborate effectively within Data Technology teams, Business Information teams to design and build optimized data flows from source to Data visualization.

Requirements:

1.        10+ years in-depth data engineering experience and execution of data pipelines, data ops, data observability, scripting and SQL queries

2.       5+ years proven data architecture experience - must have demonstrable experience with data architecture, accountable for data standards, designing data models for data warehousing and modern analytics use-cases (e.g., from operational data store to semantic models)

3.       At least 3 years experience in modern data architecture that support advanced analytics including Snowflake, Azure, etc. Experience with Snowflake and other Cloud Data Warehousing / Data Lake preferred.

4.      Expert in engineering data pipelines using various data technologies  ETL/ELT, big data technologies (Hive, Spark) on large-scale data sets demonstrated through years of experience.

5.       5+ years hands on data warehouse design, development, and data modeling best practices for modern data architectures

6.      Bachelors degree in computer science, Information Systems, Engineering, Business Analytics, Business Management

7.       Highly proficient in at least one of these programming languages: Java, Python

8.      Experience with modern data modelling tools, data preparation tools

9.      Experience with adding data lineage, technical glossary from data pipelines to data catalog tools.

10.    Highly proficient in Data analysis  analyzing SQL, Python scripts, ETL/ELT transformation scripts.

11.     Highly skilled in data orchestration with experience in tools like Ctrl-M, Apache Airflow. Hands on DevOps/Data Ops experience required.

12.    Knowledge/working experience in reporting tools such as MicroStrategy, Power BI would be a plus.

13.    Self-driven individual with the ability to work independently or as part of a project team.

14.    Experience working in an Agile Environment preferred, Familiarity with Retail domain preferred.

15.    Experience with Streamsets, dbt preferred.

16.    Strong communication skills are required with the ability to give and receive information, explain complex information in simple terms and maintain a strong customer service approach to all users.

Ankit Chauhan| Technical Recruiter | KPG99,INC

Direct: 
201-817-1592 
| 
Ankit@kpgtech.com

| 
https://kpg99.com/

LinkedIn ID

:  
linkedin.com/in/ankit-chauhan-a035431a7

3240 E State St EXT , Hamilton, NJ 08619

An E- Verified Company

Keywords: business intelligence Idaho New Jersey

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