Data Engineer

As a Data Engineer at Dynamisch, your role will involve designing, building, and maintaining robust data pipelines from multiple sources to data lake/warehouse. This includes developing transformations using SQL and Python (Spark/Databricks if applicable) with reusable, modular code. You will be responsible for configuring Airflow/ADF or equivalent tools, ensuring retries, alerting, and monitoring are in place. Key Responsibilities: - Ensure data quality and reliability through validation checks, reconciliation, audit fields, and documentation. - Perform data modeling for analytics, enabling downstream BI/reporting/ML consumption. - Optimize performance and cost by implementing partitioning, incremental loads, query tuning, and efficient storage formats. - Have a strong understanding of Power BI or Tableau, Azure Synapse, and similar tools. Qualifications Required: - 4-6 years of experience in a similar role. - Proficiency in SQL, Python, and data pipeline technologies. - Experience with Airflow/ADF or similar tools. - Knowledge of data modeling and BI/reporting tools. Dynamisch is an Information Technology Solutions and Service Company that focuses on providing end-to-end outsourced product engineering services. They specialize in software product development, mobile application development, software migration and re-engineering, cloud enablement, and QA & testing services. As a Data Engineer at Dynamisch, your role will involve designing, building, and maintaining robust data pipelines from multiple sources to data lake/warehouse. This includes developing transformations using SQL and Python (Spark/Databricks if applicable) with reusable, modular code. You will be responsible for configuring Airflow/ADF or equivalent tools, ensuring retries, alerting, and monitoring are in place. Key Responsibilities: - Ensure data quality and reliability through validation checks, reconciliation, audit fields, and documentation. - Perform data modeling for analytics, enabling downstream BI/reporting/ML consumption. - Optimize performance and cost by implementing partitioning, incremental loads, query tuning, and efficient storage formats. - Have a strong understanding of Power BI or Tableau, Azure Synapse, and similar tools. Qualifications Required: - 4-6 years of experience in a similar role. - Proficiency in SQL, Python, and data pipeline technologies. - Experience with Airflow/ADF or similar tools. - Knowledge of data modeling and BI/reporting tools. Dynamisch is an Information Technology Solutions and Service Company that focuses on providing end-to-end outsourced product engineering services. They specialize in software product development, mobile application development, software migration and re-engineering, cloud enablement, and QA & testing services.