Senior Data Engineer

Job summary

About the Role We are looking for a Senior Data Engineer with 7–8 years of experience to design, build, and maintain scalable data infrastructure and pipelines. You will work closely with data scientists, analysts, and software engineering teams to ensure data is reliable, accessible, and optimized for analytics and decision-making.

Qualifications

• We are looking for a Senior Data Engineer with 7–8 years of experience to design, build, and maintain scalable data infrastructure and pipelines.
• and deliver clean, well-documented datasets.
• Drive best practices around data governance, security, access control, and compliance (e.g., GDPR, SOC 2).
• Optimize infrastructure costs and pipeline performance, identifying and resolving bottlenecks.
• Mentor junior and mid-level data engineers; participate in code reviews and technical design discussions.
• Partner with DevOps/Platform teams to manage CI/CD pipelines, infrastructure as code, and containerized deployments for data workloads.
• Evaluate and recommend new
• 7–8 years of hands-on experience in data engineering, backend engineering, or a related field.
• Strong programming

Responsibilities

• You will work closely with data scientists, analysts, and software engineering teams to ensure data is reliable, accessible, and optimized for analytics and decision-making.
• Design, build, and maintain robust, scalable ETL/ELT pipelines to ingest data from diverse sources (databases, APIs, streaming platforms, third-party systems).
• Architect and optimize data warehouse/lakehouse solutions (e.g., Snowflake, BigQuery, Redshift, Databricks) for performance, scalability, and cost efficiency.
• Build and maintain batch and real-time streaming data pipelines using

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