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Urgent! Data Engineer - Python/ETL Job Opening In Hyderabad – Now Hiring PureSearch

Data Engineer Python/ETL



Job description

<p><p>The <b>Data Engineer</b> will be responsible for building and maintaining our data infrastructure to support reporting, analytics, and data science initiatives.

</p><p><br/></p><p>The ideal candidate will have strong skills in data architecture, ETL, SQL, and Python within a Git-managed environment, as well as a proven ability to collaborate with both business stakeholders and data team colleagues to deliver robust, scalable data frameworks.

</p><p><br/></p><p>This individual will possess strong operational skills to drive efficiency and speed, expertise in building repeatable data engineering processes, strong project management abilities, and a forward-looking vision for delivering impactful data : </b><br/><br/>- Create and orchestrate data pipelines within a state-of-the-art AWS environment (Redshift, EC2, EMR, S3, Lambda, Glue, etc.).<br/><br/></p><p>- Manage all aspects of the data and analytics ecosystem from ingestion to ETL to aggregate tablesto meet analytics and reporting needs.<br/><br/></p><p>- Design and implement internal data pipeline processes and improvements using modern techniques such as automation, optimization, and infrastructure redesign for scalability.<br/><br/></p><p>- Develop scripts for scheduling data ingestion and synchronization, and implement backend logic to create data marts based on business requirements for stakeholder self-service.<br/><br/></p><p>- Partner with data architects to build frameworks for defining metrics as code and optimizing data search and retrieval.<br/><br/></p><p>- Troubleshoot production data jobs and processes to resolve data quality issues and improve pipeline performance.<br/><br/></p><p>- Build and assemble large, complex data sets with multi-dimensional relationships to meet functional and non-functional business requirements.<br/><br/></p><p>- Develop integrations between systems to ensure seamless data flow.<br/><br/></p><p><b>Qualifications :</b><br/><br/>- Bachelors degree or higher in a quantitative or technical field (e.g., Computer Science, Statistics, Engineering) or equivalent experience.<br/><br/></p><p>- 5+ years of experience in data engineering, database engineering, business intelligence, or business analytics.<br/><br/></p><p>- 5+ years of SQL experience for reporting and transformation (Redshift, MySQL, PostgreSQL, Snowflake, Databricks).<br/><br/></p><p>- 4+ years of Python experience, including class development, within a Git-managed CI/CD team development environment.<br/><br/></p><p>- 4+ years of experience with schema design and dimensional data modeling.<br/><br/></p><p>- Strong interest in understanding business strategy, not just data architecture, and a focus on how data engineering contributes to organizational goals.<br/><br/></p><p>- Experience with Data Lake architectures and integrating structured and unstructured data into unified models.<br/><br/></p><p>- Ability to define and align to a long-term vision, with a focus on reliability, curiosity, and self-sufficiency in diagnosing issues by digging into code, data, and logs.<br/><br/></p><p>- Experience with API design and development of RESTful web services.<br/><br/></p><p>- Analytical mindset with the ability to structure and process qualitative data and draw insightful conclusions.<br/><br/></p><p>- Experience with data science and machine learning (a plus).<br/><br/></p><p>- Experience with GIS (a plus).<br/><br/></p><p>- Data visualization experience with tools such as Tableau (a plus).<br/><br/></p><p>- Experience with JIRA (preferred).</p><br/></p> (ref:hirist.tech)


Required Skill Profession

Computer Occupations



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    Unlock Your Data Engineer Potential: Insight & Career Growth Guide


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