Data Engineer

vanguardjobs

Hyderabad 3 Years Exp Posted 1h ago

Develop and maintain scalable ETL processes using Python and SQL to support data integration and analytics requirements.
Design and implement data models, database structures, and data pipelines to ensure high performance, scalability, and data quality.
Integrate data from multiple sources, including APIs, third-party services, and on-premises/cloud databases, to create reliable datasets for business consumption.
Collaborate with data scientists, analysts, and business stakeholders to understand requirements and deliver effective data solutions.
Develop automated workflows and data processing solutions using Python and SQL to streamline data ingestion and transformation.
Support cloud-based data platforms and contribute to building scalable and efficient data solutions.
Maintain and improve data quality through validation, monitoring, and data governance best practices.
Thoroughly test code to ensure accuracy, reliability, and alignment with business requirements.
Provide tool and data support to business users and team members to ensure effective use of data solutions.
Participate in continuous improvement initiatives, adopting new technologies and approaches to solve business problems.

Qualifications and Skills

Minimum 3 years of relevant work experience, with at least 1 year in designing and maintaining data pipelines, ETL processes and database architectures.
Bachelor's degree (B.E./B.Tech) in Computer Science or IT, or Diploma in Data Science, Statistics, or related field.
Strong software engineering background with Python programming experience preferred.
Strong proficiency in SQL and experience working with relational databases such as PostgreSQL and/or MySQL.
Good understanding of data modeling concepts and database design principles.
Demonstrated ability to learn quickly, solve problems, and work with a curious, passionate, and go-getter mindset.
- Good to Have: Experience with Java, C++, Apache Spark, AWS Glue, or other data engineering technologies and exposure to cloud platforms and modern data processing frameworks.