Timing - Evening Shift- Till 1:30 AM ISTNote - Must be able to join within a 30 days notice.Third Party Payroll But full time with AmplitudeAbout The Role & TeamWe are seeking a Sr. Data Engineer to join our Data Engineering team within our Enterprise Data Insights organization to build data solutions, design and implement ETL/ELT processes and manage our data platform to enable our cross functional stakeholders. As a part of our Corporate Engineering division, our vision is to spearhead technology and data-led solutions and experiences to drive growth & innovation at scale. The ideal candidate will have a strong Data Engineering background, advanced Python knowledge and experience with cloud services and SQL/NoSQL databases. You will work closely with our cross functional stakeholders in Product, Finance and GTM along with Business and Enterprise Technology teams.As a Senior Data Engineer, you will:• Collaborating closely with various stakeholders to prioritize requests, identify improvements, and offer recommendations.• Taking the lead in analyzing, designing, and implementing data solutions, which involves constructing and designing data models and ETL processes.• Cultivating collaboration with corporate engineering, product teams, and other engineering groups.• Leading and mentoring engineering discussions, advocating for best practices.• Actively participating in design and code reviews.• Accessing and exploring third-party data APIs to determine the data required to meet business needs.• Ensuring data quality and integrity across different sources and systems.• Managing data pipelines for both analytics and operational purposes.• Continuously enhancing processes and policies to improve SLA and SOX compliance. You'll be a great addition to the team if you have:• Hold a B.S., M.S., or Ph.D. in Computer Science or a related technical field.• Possess over 5 years of experience in Data Engineering, focusing on building and maintaining data environments.• Demonstrate at least 5 years of experience in designing and constructing ETL/ELT processes, managing data solutions within an SLA-driven environment.• Exhibit a strong background in developing data products, APIs, and maintaining testing, monitoring, isolation, and SLA processes.• Possess advanced knowledge of SQL/NoSQL databases (such as Snowflake, Redshift, MongoDB). • Proficient in programming with Python or other scripting languages. • Have familiarity with columnar OLAP databases and data modeling.• Experience in building ELT/ETL processes using tools like dbt, AirFlow, Fivetran, CI/CD using GitHub, and reporting in Tableau.• Possess excellent communication and interpersonal skills to effectively collaborate with various business stakeholders and translate requirements.Added bonus if you also have:• A good understanding of Salesforce & Netsuite systems• Experience in SAAS environments• Designed and deployed ML models• Experience with events and streaming data
Job Title
Mumba Technologies, Inc. | Data Engineer