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About the role
Detail-oriented and analytical Data Analyst with strong expertise in SQL, Python, and data visualization, looking to transition into a Data Engineer role. Experienced in data extraction, transformation, analysis, and reporting, with a solid understanding of data warehousing, ETL processes, and large-scale data management. Hands-on exposure to PySpark, Snowflake, Databricks, and cloud-based data platforms, enabling efficient handling and processing of complex datasets. Proficient in writing optimized SQL queries, automating data workflows using Python, and supporting data pipeline development. Possesses a strong foundation in data modeling, data integration, and business intelligence, along with the ability to collaborate with stakeholders to translate business requirements into scalable data solutions. Eager to leverage analytical expertise and technical skills to build robust data pipelines, enhance data accessibility, and contribute to modern data engineering initiatives. Key Skills Advanced SQL & Query Optimization Python (Pandas, NumPy, Automation) PySpark & Apache Spark Snowflake Databricks ETL/ELT Development Data Warehousing & Data Modeling Airflow / Azure Data Factory / AWS Glue Tableau / Power BI Data Quality & Data Validation Cloud Platforms (AWS/Azure/GCP)Git & Version Control Soft Skills Strong analytical and problem-solving skills. Good communication and stakeholder management. Team player with a proactive attitude. Ability to work in a fast-paced environment. Strong attention to detail and ownership. Why Join Us Work with modern technologies like Snowflake, PySpark, and cloud platforms. Opportunity to solve real-world data challenges. Collaborative and growth-oriented work culture. Continuous learning and career advancement opportunities. Combining strong analytical capabilities with growing data engineering expertise to support data-driven decision-making and build scalable, high-performance data solutions. Detail-oriented and analytical Data Analyst with strong expertise in SQL, Python, and data visualization, looking to transition into a Data Engineer role. Experienced in data extraction, transformation, analysis, and reporting, with a solid understanding of data warehousing, ETL processes, and large-scale data management. Hands-on exposure to PySpark, Snowflake, Databricks, and cloud-based data platforms, enabling efficient handling and processing of complex datasets. Proficient in writing optimized SQL queries, automating data workflows using Python, and supporting data pipeline development. Possesses a strong foundation in data modeling, data integration, and business intelligence, along with the ability to collaborate with stakeholders to translate business requirements into scalable data solutions. Eager to leverage analytical expertise and technical skills to build robust data pipelines, enhance data accessibility, and contribute to modern data engineering initiatives. Key Skills Advanced SQL & Query Optimization Python (Pandas, NumPy, Automation) PySpark & Apache Spark Snowflake Databricks ETL/ELT Development Data Warehousing & Data Modeling Airflow / Azure Data Factory / AWS Glue Tableau / Power BI Data Quality & Data Validation Cloud Platforms (AWS/Azure/GCP)Git & Version Control Soft Skills Strong analytical and problem-solving skills. Good communication and stakeholder management. Team player with a proactive attitude. Ability to work in a fast-paced environment. Strong attention to detail and ownership. Why Join Us Work with modern technologies like Snowflake, PySpark, and cloud platforms. Opportunity to solve real-world data challenges. Collaborative and growth-oriented work culture. Continuous learning and career advancement opportunities. Combining strong analytical capabilities with growing data engineering expertise to support data-driven decision-making and build scalable, high-performance data solutions.
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