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· Experience in SQL, Database Design, Stored Procedures, Performance Tuning etc.
· Extensive knowledge of data processing, relational databases systems (Oracle and Oracle19C preferred ).
· Strong analytical skills, analysing existing databases and the client’s needs going forward with regard to developing effective systems.
· Good communication skills, both oral and written.
· Sound accuracy and logic. Must be able to accurately develop databases in a logical manner from scratch.
· Understand the concepts of other programming languages.
· Understand the concepts of other front-end programming languages.
Position: Big Data Engineer
What You'll Do
Punchh is seeking to hire Big Data Engineer at either a senior or tech lead level. Reporting to the Director of Big Data, he/she will play a critical role in leading Punchh’s big data innovations. By leveraging prior industrial experience in big data, he/she will help create cutting-edge data and analytics products for Punchh’s business partners.
This role requires close collaborations with data, engineering, and product organizations. His/her job functions include
- Work with large data sets and implement sophisticated data pipelines with both structured and structured data.
- Collaborate with stakeholders to design scalable solutions.
- Manage and optimize our internal data pipeline that supports marketing, customer success and data science to name a few.
- A technical leader of Punchh’s big data platform that supports AI and BI products.
- Work with infra and operations team to monitor and optimize existing infrastructure
- Occasional business travels are required.
What You'll Need
- 5+ years of experience as a Big Data engineering professional, developing scalable big data solutions.
- Advanced degree in computer science, engineering or other related fields.
- Demonstrated strength in data modeling, data warehousing and SQL.
- Extensive knowledge with cloud technologies, e.g. AWS and Azure.
- Excellent software engineering background. High familiarity with software development life cycle. Familiarity with GitHub/Airflow.
- Advanced knowledge of big data technologies, such as programming language (Python, Java), relational (Postgres, mysql), NoSQL (Mongodb), Hadoop (EMR) and streaming (Kafka, Spark).
- Strong problem solving skills with demonstrated rigor in building and maintaining a complex data pipeline.
- Exceptional communication skills and ability to articulate a complex concept with thoughtful, actionable recommendations.
About this role
We are seeking a seasoned DBA to join our team. You will have extensive experience in a mission-critical environment as a database administrator over a successful career. You will primarily work on the Supporting our Databases, AWS RDS (MySQL), and MongoDB/ Cassandra.
What You’ll Do
- Provide leadership in database scaling & monitoring. Maintain runbooks for our 24x7 SRE team.
- Assist in troubleshooting and resolution of database issues. Perform database upgrades and patches.
- Define and develop data pipelines between platforms in a mission-critical environment using DMS, Fivetran, Kafka, etc.
- Work with our developers to optimize and tune their SQL queries.
- Assist in application development, debugging, and optimization with respect to data concerns.
- Provide input in the design and implementation of backup, recovery, and DR strategy
- Review application and database design for compliance.
What You’ll Need
- Ability to script in a high-level language like Python, Ruby, etc for Automation.
- 8+ years of experience in AWS database services like RDS (Mysql), MongoDB/ Cassandra.
- 4+ years of experience in database design and DevOps on AWS.
- Must demonstrate a clear understanding of logical and physical database design and standards.
- Experience in columnar data warehouse solutions like Redshift or Snowflake.
- Must have extensive hands-on experience with MySQL in a large scale 24x7 production environment with millions of records.
- Bachelor of Science in Computer Science, Mathematics, or Engineering; or equivalent work experience
Bonus Points If You Have
- Experience with NoSQL solutions such as Cassandra/MongoDB etc.
- Experience with software development life cycle (SDLC) in an agile environment
- Hands-on production experience with Big Data applications such as Spark.
- Knowledge of development best practices (source control with Git, continuous integration, automated testing).