Lead Data Engineer

1 week ago

Noida, India Infinium Associates Full time

About the Role :We are seeking a talented Lead Data Engineer to join our team and play a pivotal role in transforming raw data into valuable insights. 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.Responsibilities :- 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.- Data Infrastructure : Design, implement, and manage data infrastructure components, including data warehouses, data lakes, and data marts.- Data Quality : Ensure data quality by implementing data validation, cleansing, and standardization processes.- Team Management : Able to handle team.- Performance Optimization : Optimize data pipelines and infrastructure for performance and efficiency.- Collaboration : Collaborate with data analysts, scientists, and business stakeholders to understand their data needs and translate them into technical requirements.- Tool and Technology Selection : Evaluate and select appropriate data engineering tools and technologies (e.g., SQL, Python, Spark, Hadoop, cloud platforms).- Documentation : Create and maintain clear and comprehensive documentation for data pipelines, infrastructure, and processes.Skills :- Strong proficiency in SQL and at least one programming language (e.g., Python, Java).- Experience with data warehousing and data lake technologies (e.g., Snowflake, AWS Redshift, Databricks).- Knowledge of cloud platforms (e.g., AWS, GCP, Azure) and cloud-based data services.- Understanding of data modeling and data architecture concepts.- Experience with ETL/ELT tools and frameworks.- Excellent problem-solving and analytical skills.- Ability to work independently and as part of a team.Preferred Qualifications :- Experience with real-time data processing and streaming technologies (e.g., Kafka, Flink).- Knowledge of machine learning and artificial intelligence concepts.- Experience with data visualization tools (e.g., Tableau, Power BI).- Certification in cloud platforms or data engineering. (ref:hirist.tech)

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