Senior Data Engineer

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profile Job Location:

San Ramon, CA - USA

profile Monthly Salary: Not Disclosed
Posted on: 8 hours ago
Vacancies: 1 Vacancy

Job Summary

MatchPoint is a fast-growing young energetic global IT-Engineering services company with clients across the US. We provide technology solutions to various clients like Uber Robinhood Netflix Airbnb Google Sephora and more! More recently we have expanded to working internationally in Canada China Ireland UK Brazil and India. Through our culture of innovation we inspire build and deliver business results from idea to outcome. We keep our clients on the cutting edge of the latest technologies and provide solutions by using industry specific best practices and expertise.

We are excited to be continuously expanding our team. If you are interested in this position please send over your updated resume. We look forward to hearing from you!

Position: Senior Data Engineer

Location: San Ramon CA US

Duration: 12 months

Rate: $65/hr on W2

Job Responsibilities:

This role supports our clients Data Analytics and Insights organization a team focused on building and scaling enterprise grade data products analytics capabilities and Snowflake based data environments. This is an opportunity to work across federated teams and contribute to one of the most advanced utility-sector data ecosystems in the nation.

What Will You Be Doing

Responsibilities:

  • Develop and optimize cloud based data storage and processing solutions using Snowflake.
  • Design implement and maintain robust data pipelines and ETL processes.
  • Collaborate with federated teams and data engineers to understand requirements and deliver high quality data solutions.
  • Ensure data integrity and security across all workflows and storage solutions.
  • Monitor and troubleshoot data pipelines to ensure accuracy and reliability.
  • Develop reusable modular stored procedures and scripts for data processing.
  • Contribute to developing and implementing data governance best practices.
  • Support metadata management data quality processes and enterprise data standards.

Qualifications:

Required:

  • Bachelors or Masters degree in Computer Science Engineering or related field.
  • Minimum of 5 years of data engineering experience.
  • Proven experience with Snowflake.
  • Strong proficiency in SQL and database management.
  • Knowledge of data warehousing concepts dimensional modeling and performance tuning.
  • Hands on experience with ETL tools (Informatica Talend dbt or equivalents).
  • Experience with cloud platforms such as AWS Azure or Google Cloud.
  • Familiarity with version control (Git) and CI/CD for data pipelines.
  • Familiarity with big data technologies (Hadoop Spark Kafka) is a plus.
  • Excellent problem solving analytical communication and stakeholder management skills.

Preferred:

  • Experience with Python or other scripting languages.
  • Informatica experience (nice to have).
  • Knowledge of Tableau Power BI or other visualization tools.
  • Exposure to orchestration tools.

MatchPoint Solutions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race color religion age sex national origin disability status genetics protected veteran status sexual orientation gender identity or expression or any other characteristic protected by federal state or local laws.

This policy applies to all terms and conditions of employment including recruiting hiring placement promotion termination layoff recall transfer leaves of absence compensation and training.

MatchPoint is a fast-growing young energetic global IT-Engineering services company with clients across the US. We provide technology solutions to various clients like Uber Robinhood Netflix Airbnb Google Sephora and more! More recently we have expanded to working internationally in Canada China Ire...
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Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala