Data engineer

1 day ago

Delhi, India Mumba Technologies, Inc. Full time
Timing - Evening Shift- Till 1:30 AM IST
Note - Must be able to join within a 30 days notice.
Third Party Payroll But full time with Amplitude
About The Role & Team
We 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/No SQL 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/No SQL databases (such as Snowflake, Redshift, Mongo DB). • 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, Air Flow, Fivetran, CI/CD using Git Hub, 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

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