Data Engineer / Data Analyst

Job Summary


Responsibilities

• Design, build, and maintain efficient data pipelines and ETL workflows.
• Analyze structured and unstructured datasets to uncover insights that drive business decisions.
• Collaborate with cross-functional teams (product, engineering, business) to understand data requirements.
• Develop dashboards and visualizations to communicate key metrics and trends.
• Ensure data accuracy, quality, and security across systems.

Requirements

• 2+ years of experience as a Data Engineer or Data Analyst.
• Strong proficiency in SQL and experience with Python or R for data manipulation.
• Hands-on experience with ETL tools, data warehouses (e.g., Snowflake, BigQuery, Redshift), or cloud platforms (AWS / GCP / Azure).
• Good understanding of data modeling, data pipelines, and data visualization tools (e.g., Power BI, Tableau, Looker).
• Analytical mindset with strong problem-solving and communication skills.

Nice to Have

• Experience with big data frameworks (Spark, Hadoop).
• Familiarity with machine learning or statistical analysis.
• Exposure to CI/CD pipelines and version control (Git).

Why Join Us

• Opportunity to work on impactful data projects and modern data tech stacks.
• Collaborative, growth-oriented culture.
• Competitive compensation and benefits.

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