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Senior Data Engineer


  • Skilled Data Engineer with expertise in cloud-based platforms (Azure, AWS, GCP) and extensive experience implementing cost-effective solutions, reducing performance issues, and streamlining data pipelines.

  • Proven track record in designing and implementing efficient ETL pipelines using technologies such as Azure Data Factory, Databricks, AWS Glue, and EMR, ensuring smooth data ingestion, transformation, and distribution across storage environments.

  • Proficient in building robust data architectures and implementing CI/CD (Continuous Integration/Continuous Deployment) practices, resulting in reduced complexity and improved data delivery cycles.

  • Strong experience in working with diverse data repositories, including Storage Data Lake, Blob, Databricks, Redshift, Snowflake, and BigQuery, utilizing various scripting languages such as Python, PySpark, Spark Scala, and SQL to execute data ingestion and manipulation tasks.

  • Expertise in visualization platforms like Power BI, Tableau, Looker, and Amplitude, enabling the creation of meaningful and insightful reports and dashboards for effective data analysis and decision-making.

  • Adept at collaborating with cross-functional teams, such as developers, business analysts, and project managers, to understand requirements, architect scalable solutions, and ensure seamless integration with existing systems.

  • Proactive problem solver with a strong focus on performance optimization, data quality assurance, and adherence to best practices in data governance, resulting in efficient and reliable data processing and analysis.

  • Experienced in Agile methodologies, such as Scrum, and proficient in using project management tools like JIRA, Trello, and Wrike to ensure smooth project execution and timely delivery of data engineering solutions.

Skilled Data Engineer with expertise in cloud-based platforms and experience implementing cost-effective solutions.

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