entomo is an Equal Chance Employer. The company promotes and supports a diverse workforce at all levels across the organization. We ensure that our associates, potential hires, third-party support staff, and suppliers are not discriminated against directly or indirectly based on color, creed, caste, race, nationality, ethnicity, national origin, marital status, pregnancy, age, disability, religion or similar philosophical belief, sexual orientation, gender, or gender reassignment.

We are looking for a skilled and experienced Data Engineer with 3 to 5 years of experience to design, build, and optimize scalable data pipelines and infrastructure. The ideal candidate will work closely with data scientists, analysts, and software engineers to ensure reliable and efficient data delivery throughout our data ecosystem.

Key Responsibilities

- Design, implement, and maintain robust data pipelines using ETL/ELT frameworks
- Build and manage data warehousing solutions (e.g., Snowflake, Redshift, BigQuery)
- Optimize data systems for performance, scalability, and cost-efficiency
- Ensure data quality, consistency, and integrity across various sources
- Collaborate with cross-functional teams to integrate data from multiple business systems
- Implement data governance, privacy, and security best practices
- Monitor and troubleshoot data workflows and perform root cause analysis on data issues
- Automate data integration and validation using scripting languages (e.g., Python, SQL)
- Work with DevOps teams to deploy data solutions using CI/CD pipelines

Required Skills Qualifications

- Bachelor s or Master s degree in Computer Science, Engineering, Data Science, or a related field
- 3 5 years of experience in data engineering or a similar role




- Strong proficiency in SQL and at least one programming language (Python, Java, or Scala)
- Experience with cloud platforms (AWS, Azure, or GCP)
- Hands-on experience with data pipeline tools (e.g., Apache Airflow, Luigi, DBT)
- Proficient with relational and NoSQL databases
- Familiarity with big data tools (e.g., Spark, Hadoop)
- Good understanding of data architecture, modeling, and warehousing principles
- Excellent problem-solving and communication skills

Preferred Qualifications

- Certifications in cloud platforms or data engineering tools
- Experience with containerization tools (e.g., Docker, Kubernetes)
- Knowledge of real-time data processing tools (e.g., Kafka, Flink)
- Exposure to data privacy regulations (e.g., GDPR, HIPAA)

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Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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