Macersoft Technologies, a DPE Company
Website:
macersoft.com
Job details:
Company Description Macersoft Technologies is a subsidiary of DataPlatformExperts, a technology solution provider headquartered in the United States. Founded in 2018, Macersoft Technologies was established to leverage highly skilled talent in India to better serve a global client base. The company focuses on modern data platforms and cloud-based solutions, helping organizations manage and optimize their data assets. Team members collaborate across geographies, working with diverse industries and advanced technologies. The environment emphasizes professional growth, technical excellence, and client-centric delivery.
Role Description The Senior PostgreSQL & AWS Data Engineer (Contract 6 Months) will be responsible for designing, building, and maintaining scalable data solutions in a full-time, remote capacity. Day-to-day tasks include developing and optimizing PostgreSQL databases, implementing data pipelines on AWS, and supporting data warehousing and analytics initiatives. The role involves collaborating with cross-functional teams to understand data requirements, modeling data structures, and ensuring data quality, performance, and reliability. The engineer will manage ETL workflows, monitor data infrastructure, troubleshoot issues, and contribute to best practices in data engineering. This position also requires documenting solutions, participating in code reviews, and helping improve the overall data architecture and governance.
Qualifications
- Strong data engineering skills, including experience with PostgreSQL, AWS data services (such as Redshift, RDS, Glue, or Lambda), and building scalable data pipelines.
- Proficiency in data modeling and designing relational and dimensional models to support reporting, analytics, and data warehousing needs.
- Hands-on experience with Extract Transform Load (ETL) processes, including development, optimization, and monitoring of ETL workflows and automation.
- Background in data warehousing concepts, architecture, and implementation, including performance tuning and storage optimization.
- Data analytics skills, with the ability to work with stakeholders to translate business requirements into data solutions and support BI/reporting tools.
- Experience with scripting or programming languages (such as Python, SQL, or Shell) and version control tools (such as Git).
- Knowledge of cloud security, data governance, and best practices for handling sensitive data in distributed systems.
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience.
- Strong communication, collaboration, and problem-solving skills, with the ability to work effectively in a remote, distributed team.
- Prior experience in senior or lead data engineering roles and familiarity with agile delivery methods is beneficial.
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