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Snowflake Engineer || Databricks Engineer - F2F interview is mandatory at NYC, New York, USA
Email: [email protected]
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Snowflake Engineer || Databricks Engineer - F2F interview is mandatory

ROLE 1- Snowflake Engineer with Python & Pyspark Exp Client Location- NYC, NY OR Iselin, NJ (Day1Onsite Hybrid) In person interview is required as

ROLE 1-

Snowflake Engineer with Python & Pyspark Exp

In person interview is required as final round which is paid by client

Location available for F2F interview (Santa Clara CA, NJ, NC, TX, OH, WA, GA)

Skills:

8+ years - Enterprise Data Management

5+ years - SQL Server based development of large datasets

5+ years with Data Warehouse Architecture, Snowflake experience preferred

2+ years Python/ Pyspark coding experience

Experience with pyspark (good to have, should understand the architecture)

Proficient with Data Visualization tools

Hands-on experience with Snowflake utilities such as SnowSQL and SnowPipe

Working knowledge of MS Azure configuration items with respect to Snowflake.

Hands-on experience with Tasks, Streams, Time travel, Optimizer, Metadata Manager, data sharing

Experience in Data warehousing - OLTP, OLAP, Dimensions, Facts, and Data modeling.

Previous experience leading an enterprise-wide Cloud Data Platform migration with strong architectural and design skills

Capable of discussing enterprise level services independent of technology stack

Experience with Cloud based data architectures, messaging, and analytics

Superior communication skills

Cloud certification(s)

Any experience with Regulatory Reporting is a Plus

Education

Minimally a BA degree within an engineering and/or computer science discipline

Masters degree strongly preferred

ROLE 2-

Databricks Engineer with Python & Pyspark Exp

In person interview is required as final round which is paid by client

Location available for F2F interview (Santa Clara CA, NJ, NC, TX, OH, WA, GA)

Job Description:

This position is for a Cloud Data / Reporting engineer with a background in SQL and data warehousing for enterprise level systems. The position calls for someone that is comfortable working with business users along with business analyst expertise.

Major Responsibilities:

Design, develop, and deploy Databricks jobs to process and analyze large volumes of data.

Collaborate with data engineers and data scientists to understand data requirements and implement appropriate data processing pipelines.

Optimize Databricks jobs for performance and scalability to handle big data workloads.

Monitor and troubleshoot Databricks jobs, identify and resolve issues or bottlenecks.

Implement best practices for data management, security, and governance within the Databricks environment. Experience designing and developing Enterprise Data Warehouse solutions.

Demonstrated proficiency with Data Analytics, Data Insights

Proficient writing SQL queries and programming including stored procedures and reverse engineering existing process

Leverage SQL, programming language (Python or similar) and/or ETL Tools (Azure Data Factory, Data Bricks, Talend and SnowSQL) to develop data pipeline solutions to ingest and exploit new and existing data sources.

Perform code reviews to ensure fit to requirements, optimal execution patterns and adherence to established standards.

Skills:

10+ years - Enterprise Data Management

10+ years - SQL Server based development of large datasets

5+ years with Data Warehouse Architecture, hands-on experience with Databricks platform. Extensive experience in PySpark coding. Snowflake experience is good to have

3+ years Python (numpy, pandas) coding experience

3+ years experience in Finance / Banking industry some understanding of Securities and Banking products and their data footprints.

Experience with Snowflake utilities such as SnowSQL and SnowPipe - good to have

Experience in Data warehousing - OLTP, OLAP, Dimensions, Facts, and Data modeling.

Previous experience leading an enterprise-wide Cloud Data Platform migration with strong architectural and design skills

Capable of discussing enterprise level services independent of technology stack

Experience with Cloud based data architectures, messaging, and analytics

Superior communication skills

Cloud certification(s)

Any experience with Regulatory Reporting is a Plus

Education

Minimally a BA degree within an engineering and/or computer science discipline

Masters degree strongly preferred

Best Regards,

Himanshu Kumar

Assistant Manager- Recruitment

Email- [email protected]

Linkedin- https://www.linkedin.com/in/himanshu-kumar-034b6b126/

Google Chat- [email protected]

2024 Arkhya Tech Inc. | 722 Grant Street, Suite G Herndon, VA 20170 USA

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08:52 PM 05-Feb-24


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