Description

You will design, implement, and maintain scalable data architectures and secure platforms for large-scale dataset access.

Responsibilities

• Design and maintain efficient data processing flows and automated data pipelines.
• Build and support metrics, reports, and dashboards to drive business decision-making.
• Implement data quality processes to identify, troubleshoot, and resolve errors or discrepancies.
• Tune application and query performance using profiling tools and SQL.
• Collaborate with technical support and business owners to ensure seamless service delivery.
• Support the technical and operational architecture of complex enterprise systems.

Required Skills

• 8+ years of experience with SQL.
• 5+ years of experience in Data Engineering.
• 4+ years of experience in Data Modeling and Data Warehousing.
• 4+ years of experience building ETL/ELT pipelines.
• 3+ years of experience in Python, Java, Scala, or NodeJS.
• Experience with AWS or Azure technologies including Redshift, S3, Lambda, Synapse, or Azure DevOps.

Preferred Skills

• 3+ years of experience with big data technologies such as Spark, Databricks, Snowflake, or Hadoop.
• 5+ years of experience with DevOps and CI/CD using Git and automation tools.
• 2+ years of experience with non-relational databases, including object storage, document, key-value, graph, or column-family stores.

Key Skills

Education

Any Gradute