Data Engineer

6 days ago

Ghaziabad, India Etelligens Technologies Pvt Ltd Full time

About the Role :We are seeking an experienced Data Engineer - Python with 58 years of hands-on expertise in building scalable data solutions. The ideal candidate will design, develop, and optimize ETL pipelines, ensure data quality and reliability, and collaborate with cross-functional teams to enable data-driven decision-making.Key Responsibilities :- Design, develop, and maintain ETL/ELT pipelines using Python, PySpark, and SQL.- Build and optimize scalable data pipelines leveraging AWS services (Glue, Lambda, S3, Athena, Step Functions).- Implement and manage Data Warehousing solutions with strong knowledge of SCD (Type 1, Type 2) and Medallion Architecture.- Develop efficient data models and ensure partitioning, indexing, and performance optimization in big data environments.- Ensure high standards of data quality, governance, and security across pipelines and platforms.- Collaborate with data scientists, analysts, and business stakeholders to translate business requirements into technical solutions.- Monitor and troubleshoot production pipelines to ensure reliability and scalability.- Contribute to automation, process improvements, and documentation for data engineering workflows.Required Skillsets :- 5-8 years of proven experience in Data Engineering.- Strong proficiency in Python, PySpark, and SQL for data processing and Solid understanding of ETL/ELT design principles and experience with AWS services (Glue, Lambda, S3, Athena, Step Functions).- Hands-on experience with Data Warehousing concepts, SCD (Type 1, Type 2), and Medallion Architecture.- Expertise in data modeling, partitioning strategies, and query performance tuning.- Strong problem-solving and debugging skills in big data environments.- Excellent communication skills to explain technical concepts to non-technical stakeholders.Nice-to-Have Skills :- Experience with DBT for data transformation and testing.- Exposure to Databricks and the Lakehouse architecture.- Familiarity with CI/CD for data pipelines and infrastructure-as-code (Terraform, Knowledge of data security, compliance, and governance best practices. (ref:hirist.tech)

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