Sr Data Engineer – ETL & Data Migration Specialist at ExcelaCom
Remote, Oregon, USA -
Full Time


Start Date

Immediate

Expiry Date

07 Jun, 25

Salary

0.0

Posted On

09 Mar, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Cloud Storage, Looker, Automation, Management Skills, Etl Tools, Visio, Performance Tuning, Computer Science, Data Engineering, Telecommunications, Scalability, Data Modeling, Sql, Agile Environment, Python, Excel, Communication Skills, Microsoft Office, Powerpoint

Industry

Information Technology/IT

Description

WHO WE ARE:

Excelacom has a global presence in the consulting and technology solutions industry with a focus on Communications and Media providers. We collaborate with our clients to solve their complex business, technology and operational challenges through a combination of consulting expertise and telecom-focused solutions and products. Excelacom provides extensive experience in product development, IT consulting, telecom-focused software and managed services, as well as strategic management and thought leadership to steer our clients towards a successful business and technology transformation.
At Excelacom, we recognize that our most valuable asset is our people. We strive to create an environment where our employees can contribute their unique perspectives and grow individually and collectively. Our diverse and inclusive culture empowers our people to embrace their ideas and transform them into innovative solutions.

WHO YOU ARE:

We are seeking a highly skilled Data Engineer - ETL & Data Migration Specialist to lead and execute large-scale ETL processes and database migration projects, particularly migrating Enterprise Data Warehouses (EDW) from Teradata to Google BigQuery. This role demands deep expertise in data architectures, SQL, cloud platforms (GCP), and data integrity principles, with hands-on experience in ETL tools and methodologies. The ideal candidate will ensure optimized data transfer processes and seamless cloud integrations.
At the Consultant-level, you will be expected to independently contribute ideas, recommendations, and solutions toward solving business challenges, construct key components of deliverables/presentations, and contribute to the development of Intellectual Capital (IC) and Marketing Collateral. You will serve as a team leader for individual work streams and acquire a comprehensive understanding of the firm’s expertise, product set, and capabilities. Most importantly, you will embrace our firm’s brand and core values.

REQUIRED QUALIFICATIONS:

  • Bachelor’s degree, preferably in Computer Science or related field
  • Prior consulting experience –in an agile environment – with a leading strategy firm, consulting practice, or consulting technology firm
  • Proficiency in Microsoft Office (Word, Excel, PowerPoint, Visio)
  • Highly collaborative, team-oriented with strong stakeholder management skills
  • Ability to lead project working groups and possesses strong facilitation and data gathering skills
  • Strong verbal and written communication skills with the ability to interact with technical and non-technical personnel
  • 3+ years of hands-on experience in data engineering, ETL development, and data migrations.
  • Strong expertise in Teradata, SQL, BigQuery, and ETL tools.
  • Hands-on experience with Python for data transformations and automation.
  • Solid understanding of Google Cloud Platform (GCP) services, including BigQuery, Dataflow, Cloud Storage, and Looker.
  • Strong knowledge of data warehousing concepts, data modeling, and performance tuning.
  • Ability to analyze, troubleshoot, and optimize ETL pipelines for scalability and efficiency.

PREFERRED QUALIFICATIONS:

  • Prior experience in Telecommunications, Media, or Cable is highly preferred
  • Past success in generating new business with existing clients
  • Good time management skills
  • Certification in GCP (or other cloud environments) is highly desirable
Responsibilities

You may work on various projects throughout your career with Excelacom. The roles and responsibilities noted below pertain to the specific role listed above.

  • Decompose key business problems to identify value areas and structure and implement complex technology solutions for the client.
  • Create innovative and differentiated offerings, staying relevant and in sync with market demand and technology evolution.
  • Deliver advisory services to Senior Management and above in support of technology-enabled business changes.
  • Manage and Deliver technology projects including application development, integration, data migration, testing, etc. for IT organizations.
  • Meet with client staff on a daily basis to understand key issues with how they operate today and identify opportunities for improvement in their operations and technology landscape.
  • Leveraging Excelacom’s domestic and international assets and expertise to bring new ideas to clients.
  • Supporting the development of improved capabilities in clients across business processes, people and technology.
  • Developing business cases and implementation roadmaps to support investment decisions.
  • Providing project management and change management support on large- or small-scale transformation projects.
  • Identify and qualify additional business opportunities
  • Prepare solutions and proposals and present to clients
  • Lead ETL and Data Migrations: Design, implement, and optimize ETL processes to efficiently migrate data from Teradata and with SQL scripts to Google BigQuery.
  • Data Transformation & Processing: Build, maintain, and enhance data pipelines using SQL, Python, and ETL tools, ensuring high performance and scalability.
  • Looker & GCP Integration: Leverage Looker and GCP services to enhance data visualization, analytics, and reporting capabilities post-migration.
  • Performance Optimization: Fine-tune queries, indexing, and partitioning strategies to optimize ETL processes and cloud data performance.
  • Cloud Data Architecture: Develop and implement cloud-based data solutions, ensuring data security, consistency, and reliability.
  • Collaboration & Advisory: Work with business stakeholders, data engineers, and IT teams to ensure smooth execution of data transformation projects.
  • Testing & Validation: Ensure data quality, validation, and integrity throughout migration and transformation processes.
  • Documentation & Best Practices: Maintain technical documentation, contribute to data governance initiatives, and enforce best practices.
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