Job Title: Sr Data Engineer

Location: Alpharetta, GA (Hybrid) ( Need Locals only )

Duration: Long Term

Client: Agreeya/Telecommunication

Description:

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

This role has got updates after the manager call.

We are looking for SR GCP Data Engineer, local Profiles only.

But These Data Engineers need to be really good with SQL Server Stack and development SSIS/SSRS.

Some Python is needed for API integrations and Tableau or PowerBI knowledge is desired here.

Do look for GCP Data Engineer Certification

Responsibilities:

10 years of experience in data engineering.

Design, develop, and maintain new data capabilities and infrastructure for utilizing Telecommunication, third-party, and partner data to enhance Telecommunication's 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 fine-tune 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 data-related 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.)

In-depth 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/Client, 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 organization's 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 problem-solving skills and the ability to navigate complex data challenges

Proven abilities to take initiative and be innovative

Analytical mind with a problem-solving aptitude

Effective communication and collaboration skills to work with both technical and non-technical stakeholders

MUST HAVE SKILLS:

Microsoft SQL Server

Microsoft Business Intelligence(SSIS,SSAS & SSRS)

Python

GCP Data Services

Tableau

EDUCATION/CERTIFICATIONS:

Bachelor's or Master's degree in Computer Science, Engineering, or a related field

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