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Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field
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Proven experience as a Data Engineer with expertise in data modeling, ETL processes, and database management
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Proficiency in Tableau for data visualization, along with experience in other BI tools such as Power BI, Looker, Qlik, or similar platforms is a plus
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Strong experience with SQL and data warehouses (e.g., Snowflake, Redshift, BigQuery), and familiarity with cloud platforms (e.g., AWS, Azure, GCP)
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Experience with scripting languages such as Python for data transformation and automation
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Familiarity with modern data tools (e.g., Apache Spark, Airflow, dbt) and workflow orchestration for automated data pipelines
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Understanding of data governance, data quality, and data security best practices
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Strong analytical, problem-solving, and communication skills with the ability to work independently or in a team.
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Ability to understand the requirements and write Functional Specification Documents, Design Documents, and Mapping Specifications.
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Advanced working knowledge and experience with relational and non-relational databases
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Experience with Tableau Server dashboard deployment and management
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Knowledge of data architecture, including OLAP/OLTP systems, data lakes, and data mesh
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Experience in building self-service BI tools for non-technical users and supporting business teams in data exploration
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Familiarity with machine learning and AI integration into data pipelines
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Experience with agile methodologies and DevOps practices for data engineering and BI tool management