Senior Data Engineer Snowflake at Match Point Solutions

MatchPoint Solutions 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! Job : Senior Data Engineer - Snowflake Duration : 12 months Location : Local to bay area - Onsite 1day a week Exp 10 Years Job Overview The Data Analytics and Insights team is seeking an experienced and talented Senior Data Engineer to join our growing team of analytics experts. As a key member of our team you will play an essential role in the design development and maintenance of data pipelines data products and analytic products in enterprise snowflake. The ideal candidate will have a strong background in data engineering with specific expertise in Informatica and Snowflake. This role will involve working closely with our business stakeholders data analysts and data scientists to ensure the efficient development and management of our data infrastructure. You will have a unique opportunity to be at the forefront of the utility industry and gain a comprehensive view of the nations most advanced smart grid. It is the perfect role for someone who would like to continue to build upon their professional experience and help advance PG&Es sustainability goals. Key Responsibilities Minimum Qualifications Preferred Skills Enterprise Data Platform running ongoing migrations from various databases to Snowflake throughout next year. Source systems may include MySQL Oracle and others. Hands-on data engineering role; not data science or analytics work. Pipelines are primarily batch. No real-time streaming at this point; real-time experience is a plus but not required. Required and preferred skills Primary: Snowflake data engineering experience. Focus is Snowflake-first (past hires were often Informatica engineers; the emphasis is shifting). SQL (Structured Query Language) proficiency is required. ETL (Extract Transform Load) tools experience: Informatica preferred but not mandatory; experience with dbt talent or fight trend is acceptable. CI (Continuous Integration) and CDE pipelines: knowledge of Jenkins and GitHub is expected. Comfort with GCP (Google Cloud Platform) or Databricks is acceptable in addition to Snowflake. Python expectations Python familiarity is expected of a data engineer but strong Python specialization is not required. No interview focus on Python or data structures/algorithms. If a candidate does not know Python Suresh would doubt their data engineering skills. First round withHM. SQL round. Additional data engineering round with TEAM engineer. If the candidate is an Informatica engineer an Informatica-focused round may be included. Location and working hours Preference for local to Bay Area or California/Pacific Time. Out-of-state candidates are acceptable if they support Pacific working hours. Experience level Overall: more than 5 years; mid-level targeted. Preferred range: between 5 and 15 years. Avoid very senior architect profiles (10 20 years) due to the hands-on nature. Snowflake-specific experience of about 2 3 years is acceptable. Next steps Begin interviewing candidates based on these criteria as noted in prior discussions. 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 other data engineers to understand data requirements and deliver high-quality data solutions. Ensure data integrity and security across all data workflows and storage solutions. Monitor and troubleshoot data pipelines addressing any issues promptly to ensure the smooth flow of data. Develop reusable and modular stored procedures and scripts for data processing. Contribute to the development and implementation of data governance and best practices. Monitor and troubleshoot data pipelines to ensure reliability and accuracy. Implement best practices for data governance data quality and metadata management. Bachelors or masters degree in computer science Engineering or a related field. Minimum of 5 years of experience in data engineering or a related role. Proven experience with Snowflake is required. Knowledge of data warehousing concepts dimensional modeling and performance tuning. Hands-on experience with ETL tools (e.g. Informatica Talend dbt or custom ETL frameworks). Strong proficiency in SQL and database management. 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 such as Hadoop Spark and Kafka is a plus. Excellent problem-solving and analytical skills. Strong communication and collaboration abilities. Experience with Python or other scripting languages. Experience with informatica but not necessary. Knowledge of data visualization tools such as Tableau or Power BI. Exposure to data orchestration tools Etra Notes -Discussion led by HM on hiring a Snowflake-focused data engineer for the Enterprise Data Platform. The role supports ongoing database-to-Snowflake migration projects across the next year emphasizes batch pipelines and targets mid-level candidates with solid SQL ETL and CI/CDE tooling experience. Project scope and responsibilitie Key Skills Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala Employment Type : Full Time Experience: years Vacancy: 1