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Job Title : Data : Bangalore : 3+ : the Opportunity : We Are Urgently Looking For Experienced Data Engineers To Join Our Team At Hexamobile, Bangalore. Ideal Candidates Will Have a Strong Background In Python, PySpark, And ETL Processes, With Azure Cloud Experience Being a Strong Design, develop, and maintain scalable and efficient data pipelines using Python and PySpark. Build and optimize ETL (Extract, Transform, Load) processes to ingest, clean, transform, and load data from various sources into data warehouses and data lakes. Work with large and complex datasets, ensuring data quality, integrity, and reliability. Collaborate closely with data scientists, analysts, and other stakeholders to understand their data requirements and provide them with clean and well-structured data. Monitor and troubleshoot data pipelines, identifying and resolving issues to ensure continuous data flow. Implement data quality checks and validation processes to maintain high data accuracy. Develop and maintain comprehensive documentation for data pipelines, ETL processes, and data models. Optimize data systems and pipelines for performance, scalability, and cost-efficiency. Implement data security and governance policies and procedures. Stay up-to-date with the latest advancements in data engineering technologies and best practices. Work in an agile environment, participating in sprint planning, daily stand-ups, and code reviews. Contribute to the design and architecture of our data Skills : Python : Strong proficiency in Python programming, including experience with data manipulation libraries (e.g., Pandas, NumPy). PySpark : Extensive hands-on experience with Apache Spark using PySpark for large-scale data processing and distributed computing. ETL Processes : Deep understanding of ETL concepts, methodologies, and best practices. Proven experience in designing, developing, and implementing ETL pipelines. SQ L: Solid understanding of SQL and experience in querying, manipulating, and transforming data in relational databases. Understanding of Databases : Strong understanding of various database systems, including relational databases (e.g., PostgreSQL, MySQL, SQL Server) and potentially NoSQL databases. Version Control : Experience with version control systems, particularly Git, and platforms like GitHub or GitLab (i.e., working with branches and pull Preferred Skills : Azure Cloud Experience: Hands-on experience with Microsoft Azure cloud services, particularly data-related services such as : Azure Data Factory Azure Databricks Azure Blob Storage Azure SQL Database Azure Data Lake Storage Experience with data warehousing concepts and : Bachelor's degree in Computer Science, Engineering, or a related field. Minimum of 3 years of professional experience as a Data Engineer. Proven experience in building and maintaining data pipelines using Python and PySpark. Strong analytical and problem-solving skills. Good verbal and written communication skills. Ability to work effectively both independently and as part of a team. Must be available to join Points : Experience with other big data technologies (Hadoop, Hive, Kafka, Apache Airflow). Knowledge of data governance and data quality frameworks. Experience with CI/CD pipelines for data engineering workflows. Familiarity with data visualization tools (Power BI, Tableau). Experience with other cloud platforms (AWS, GCP). (ref:hirist.tech) Show more Show less
