Data Engineer

Aspire software ltd

Kerala · Onsite Full-time 5-6 years Posted today💰 Not disclosed

Must Have Skills

SQLPythonETL/ELT toolsData warehousing solutionsData pipeline orchestration toolsCloud platformsData modeling techniquesBig data toolsVersion control systems

Preferred Skills

SQLPythonETL/ELT toolsData warehousing solutionsData pipeline orchestration toolsCloud platformsData modeling techniquesBig data toolsVersion control systems

Location & Work Mode 5–6 years of relevant experience in data engineering, data warehousing, or big data technologies. Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related field. A Data Engineer with 5–6 years of experience responsible for designing, building, and maintaining scalable data pipelines and architectures. The role focuses on enabling reliable data Job Description: Data Engineer (5–6 Years Experience) Job Description: Data Engineer (5-6 Years Experience)Role OverviewA Data Engineer with 5-6 years of experience responsible for designing, building, and maintaining scalable data pipelines and architectures. The role focuses on enabling reliable data access for analytics, reporting, and data science initiatives.

Key Responsibilities • Design, build, and maintain scalable data pipelines and ETL/ELT workflows. • Develop and optimize data models for data warehousing and analytics. • Ensure data quality, integrity, and reliability across systems. • Collaborate with data analysts, data scientists, and business teams. • Implement monitoring, logging, and alerting mechanisms for data pipelines. • Optimize performance of data systems and troubleshoot production issues. • Work with cloud-based data platforms and big data technologies. • Maintain documentation of data processes and workflows.Required Skills • Strong experience in SQL and Python. • Hands-on experience with ETL/ELT tools. • Experience with data warehousing solutions (Snowflake, Redshift, BigQuery, etc.). • Knowledge of data pipeline orchestration tools (Airflow or similar). • Experience with cloud platforms (AWS, Azure, or GCP). • Understanding of data modeling techniques. • Familiarity with big data tools (Spark, Hadoop). • Experience with version control systems (Git).Preferred Skills • Experience with real-time streaming tools (Kafka, Kinesis). • Knowledge of CI/CD pipelines. • Exposure to containerization tools (Docker, Kubernetes). • Basic understanding of data governance and security.QualificationsBachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.

Experience5-6 years of relevant experience in data engineering, data warehousing, or big data technologies.

Location & Work ModeLocation: KeralaWork Mode: [Onsite / Hybrid / Remote]

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Do you have 5-6 years of relevant experience in data engineering, data warehousing, or big data technologies?Optional

Do you hold a Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field?Optional

Can you describe your hands-on experience with designing, building, and maintaining scalable data pipelines and ETL/ELT workflows using SQL and Python?Optional

Which data warehousing solutions (e.g., Snowflake, Redshift, BigQuery) have you primarily worked with, and what was your role in optimizing data models for analytics within these platforms?Optional

Describe your experience with data pipeline orchestration tools (e.g., Airflow) and how you've used them to implement monitoring, logging, and alerting mechanisms.Optional

Which cloud platforms (AWS, Azure, or GCP) do you have hands-on experience with for data engineering tasks, and what specific services have you utilized?Optional

Can you provide an example of a complex data quality or integrity issue you encountered in a previous role and how you resolved it?Optional

Are you familiar with big data tools like Spark or Hadoop? If so, please describe your experience.Optional

The role is based in Kerala. Are you able to work onsite, hybrid, or remote, and what is your preferred work mode?Optional