
Data Engineer
- Gurgaon, Haryana
- Permanent
- Full-time
- Develop & implement ETL/ELT solutions leveraging cloud based architecture. Design the ingestion layer and data transformation and normalization to optimize querying performance and reporting outputs
- Debug production issues across our organizations cloud infrastructure
- Highly experienced with SQL scripting language to maintain and troubleshoot queries and processes within cloud based data warehouse
- Expertise in python to help develop and maintain workflows that enhance data automation, data hygiene, and enable efficient connections to 3rd party platforms for data retrieval and storage on cloud based platforms (aws, snowflake)
- Lead data integration projects with 3rd party solutions, with a focus on increasing process efficiencies in a cost-effective manner
- Partner with the Analytics stakeholders to automate and scale processes that improve data utilization and reporting deliverables
- Understanding & Documenting business requirements & technical specifications related to new data integrations. Design and execute unit testing to help mitigate data discrepancies in support of client reporting
- 3 to 5 years of data engineering experience, particularly in support of cloud based data warehouse
- Strong knowledge of working in Snowflake and AWS (Redshift, Athena, Lambda)
- Expert in hands on Python development
- Expertise in building ETL/ELT pipelines in an cloud based data warehouse
- Experience with 3rd party data ingestions and normalization via APIs, peer-to-peer networks, SFTP, etc
- Well versed with leading requirement gathering sessions across verticals (analytics, media, or finance teams)
- Adapt communication style to relevant audiences (from technical teams to non-technical stakeholders)
- Communicates effectively via emails and in presentations
- Present complex ideas in practical terms to non technical stakeholders