Sr GCP Data Engineer

Description:

Working Model: Hybrid In Office Tuesday and Thursday every week Local candidates only

Looking for GCP Certified local resources.

Responsibilities:

10 years of experience in data engineering.

Design develop and maintain new data capabilities and infrastructure for utilizing thirdparty and partner data to enhance data products and solutions

Design develop and implement scalable data pipelines and ETL/ELT processes using SSIS Python and API integrations

Identify existing data capability and infrastructure gaps or opportunities within and across initiatives and provide subject matter expertise in support of remediation

Collaborate with technical team and business stakeholders to understand data requirements and translate them into technical solutions

Work with large datasets ensuring data quality accuracy and performance

Implement data transformation integration and validation processes to support analytics and reporting needs

Optimize and finetune data pipelines for improved speed reliability and efficiency

Implement best practices for data storage retrieval and archival to ensure data accessibility and security

Troubleshoot and resolve datarelated issues collaborating with the team to identify root causes

Document data processes data lineage and technical specifications for future reference

Review and analyze existing data collection systems and make recommendations on improvement maintenance or other factors to improve the system.

Develop build and implement new data collection systems where needed.

Provide training and guidance on new systems that are being implemented.

Participate in code reviews ensuring adherence to coding standards and best practices

Collaborate with other teams to automate deployment and monitoring of data pipelines

Proven experience in data engineering with a strong track record of designing and implementing data solutions

Proficiency in programming languages such as Python Java or Scala and experience with data processing frameworks (Spark Hadoop etc.)

Indepth understanding of data warehousing concepts cloud platforms (GCP) and data modeling techniques

Strong knowledge of SQL and NoSQL databases as well as data integration and transformation tools(SSIS)

Passion for and engagement with emerging trends in data AI/ML analytics and digital experiences

Experience in data product development analytical models and model governance

Experience in anonymizing data and managing the use of data

Experience in data hygiene procedures identity resolution capabilities or data management a plus

Familiarity with BI technologies (e.g. Microsoft Power BI Tableau)

Ability to create strategies and plans that define how information can be utilized to support an organizations overall business strategy and how that information and data is organized and governed inside an organization

Familiarity with industry best practices for collection and use of data

Outstanding problemsolving skills and the ability to navigate complex data challenges

Proven abilities to take initiative and be innovative

Analytical mind with a problemsolving aptitude

Effective communication and collaboration skills to work with both technical and nontechnical stakeholders

MUST HAVE SKILLS:

Microsoft SQL Server

Microsoft Business Intelligence(SSISSSAS & SSRS)

Python

GCP Data Services

Tableau

EDUCATION/CERTIFICATIONS:

Bachelors or Masters degree in Computer Science Engineering or a related field

Microsoft/Oracle SQL GCP Data Engineer Certification Tableau Data Analyst Certification