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Urgent! Lead Data Engineer - Python/ETL Job Opening In Noida – Now Hiring Infinium Associates

Lead Data Engineer Python/ETL



Job description

<p><b>About the Role :</b><br/><br/>We are seeking a talented Lead Data Engineer to join our team and play a pivotal role in transforming raw data into valuable insights.

</p><p><br/></p><p>As a Data Engineer, you will design, develop, and maintain robust data pipelines and infrastructure to support our organization's analytics and decision-making processes.<br/><br/><b>Responsibilities :</b><br/><br/>- Data Pipeline Development : Build and maintain scalable data pipelines to extract, transform, and load (ETL) data from various sources (e.g., databases, APIs, files) into data warehouses or data lakes.<br/><br/>- Data Infrastructure : Design, implement, and manage data infrastructure components, including data warehouses, data lakes, and data marts.<br/><br/>- Data Quality : Ensure data quality by implementing data validation, cleansing, and standardization processes.<br/><br/>- Team Management : Able to handle team.<br/><br/>- Performance Optimization : Optimize data pipelines and infrastructure for performance and efficiency.<br/><br/>- Collaboration : Collaborate with data analysts, scientists, and business stakeholders to understand their data needs and translate them into technical requirements.<br/><br/>- Tool and Technology Selection : Evaluate and select appropriate data engineering tools and technologies (e.g., SQL, Python, Spark, Hadoop, cloud platforms).<br/><br/>- Documentation : Create and maintain clear and comprehensive documentation for data pipelines, infrastructure, and processes.<br/><br/><b>Skills :</b><br/><b><br/></b>- Strong proficiency in SQL and at least one programming language (e.g., Python, Java).<br/><br/>- Experience with data warehousing and data lake technologies (e.g., Snowflake, AWS Redshift, Databricks).<br/><br/>- Knowledge of cloud platforms (e.g., AWS, GCP, Azure) and cloud-based data services.<br/><br/>- Understanding of data modeling and data architecture concepts.<br/><br/>- Experience with ETL/ELT tools and frameworks.<br/><br/>- Excellent problem-solving and analytical skills.<br/><br/>- Ability to work independently and as part of a team.<br/><b><br/></b><b>Preferred Qualifications :</b><br/><b><br/></b>- Experience with real-time data processing and streaming technologies (e.g., Kafka, Flink).<br/><br/>- Knowledge of machine learning and artificial intelligence concepts.<br/><br/>- Experience with data visualization tools (e.g., Tableau, Power BI).<br/><br/>- Certification in cloud platforms or data engineering.</p> (ref:hirist.tech)


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