Data Engineer
2 months ago
Job Description :
We are looking for a skilled Data Engineer to join our team. The ideal candidate will have strong expertise in designing, implementing, and managing large-scale data infrastructure, responsible for handling data pipelines, ETL processes, and optimizing data workflows across cloud platforms.
Responsibilities :
- At least 5+ years of relevant experience.
- Build, monitor, and optimize data pipelines using Redshift, Kinesis Data Stream, Kinesis Firehose, AWS S3, AWS Glue, and Apache Airflow.
- Write and optimize complex SQL queries for efficient data extraction and transformation.
- Develop solutions using Python to support ETL processes and data analysis.
- Collaborate with cross-functional teams to ensure data accuracy and integrity.
Nice to Have :
- Experience with message broker platforms like Pulsar and Kafka.
- Knowledge of MongoDB for NoSQL database :
- Proven experience with AWS cloud services, data pipelines, and large datasets.
- Strong knowledge of SQL and data management tools.
What you'll be doing :
- Foster the growth and development of a team of data engineers who exhibit strong motivation and work behaviors, facilitating the acquisition of new data and enhancing current data sources.
- Design, build, and launch new data models and pipelines in production.
- Act as a player-coach, blending hands-on expertise with leadership to amplify the effects of your team's work.
- Foster connections with diverse teams to comprehend data requirements and drive successful project outcomes.
- Help develop and support your team in areas such as technical architecture, collaborating with relevant parties, managing projects, and enhancing product knowledge.
- Define processes to achieve operational excellence in project management and system reliability.
- Set direction for the team, anticipating strategic and scaling-related challenges.
- Foster a healthy and collaborative culture that embodies our values.
(ref:hirist.tech)-
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