Chennai, Tamil Nadu, India
Space Exploration & Research, Information Technology
Full-Time
People Tech Group Careers
Overview
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
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 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).
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