Data Analysis Engineer

ABOUT THE ROLE

We are looking for an experienced Data & Analysis Engineer with 4-6+ years of experience in data engineering, analytics, and business intelligence. If you have a passion for building scalable data solutions, extracting insights from complex datasets, and working with modern data technologies, we have an exciting opportunity for you.

Requirements:

• 4-6+ years of experience in data engineering, data analysis, or business intelligence
• Strong proficiency in SQL and data modeling
• Experience with at least one programming language (Python, Scala, Java, or R)
• Knowledge of data pipeline tools (Apache Airflow, Luigi, Prefect, or similar)
• Experience with big data technologies (Apache Spark, Hadoop, Kafka, Flink)
• Understanding of data warehousing concepts and architectures (star schema, snowflake schema)
• Experience with cloud data platforms (AWS, Azure, or GCP) and their data services
• Knowledge of ETL/ELT processes and data integration patterns
• Experience with version control (Git) and collaborative development
• Understanding of data quality, data governance, and data lineage
• Experience with business intelligence tools (Tableau, Power BI, Looker, or similar)
• Knowledge of statistical analysis and data visualization

Good to Have:

• Experience with real-time data processing and streaming analytics
• Knowledge of machine learning and data science concepts
• Experience with data lake architectures (Delta Lake, Iceberg, Hudi)
• Familiarity with MLOps and model deployment pipelines
• Experience with NoSQL databases (MongoDB, Cassandra, DynamoDB)
• Knowledge of graph databases and graph analytics
• Experience with data cataloging and metadata management tools
• Understanding of data privacy regulations (GDPR, CCPA)
• Experience with cloud data warehouses (Snowflake, Redshift, BigQuery, Databricks)
• Knowledge of data mesh and data fabric architectures

Candidates should

• Be highly analytical with strong problem-solving skills
• Have excellent attention to detail and data quality mindset
• Be able to translate business requirements into data solutions
• Have strong communication skills to present insights to stakeholders
• Be curious and proactive in exploring data to find patterns and insights

Language requirements

• English (Fluent)