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Urgent! Principal Data Engineer - Python/SQL/ETL Job Opening In Hyderabad – Now Hiring Response Informatics Limited

Principal Data Engineer Python/SQL/ETL



Job description

<p><p><b>Key Responsibilities : </b></p><p><p><b><br/></b></p>- Architect and build scalable, high-performance data pipelines and infrastructure.<br/><br/>- Provide technical leadership across complex, cross-functional data initiatives.<br/><br/>- Guide and mentor a team of data engineers, ensuring best practices and high engineering standards.<br/><br/>- Collaborate with data scientists, analysts, and product teams to understand data needs and implement efficient data solutions.<br/><br/>- Define data modeling standards and optimize performance across diverse data workloads.<br/><br/>- Lead design and implementation of real-time and batch data processing architectures.<br/><br/>- Own and drive infrastructure-as-code and DevOps integration for data platform deployments.<br/><br/><b>Key Skills & Expertise : </b><br/><br/><b>Cloud & Infrastructure :</b></p><p><p><b><br/></b></p>- Deep hands-on expertise with AWS (S3, Redshift, Lambda, Glue, etc.)<br/><br/>- Advanced experience with Snowflake data warehouse<br/><br/>- Proficient in Terraform / CloudFormation for infrastructure as code<br/><br/>- Strong understanding of CI/CD pipelines using Jenkins, Bitbucket, or similar tools<br/><br/><b>Programming & Scripting :</b></p><p><p><b><br/></b></p>- Expert-level proficiency in Python and PySpark for large-scale data transformations<br/><br/>- Advanced SQL for complex querying, performance tuning, and data modeling<br/><br/><b>ETL & Data Architecture :</b></p><p><p><b><br/></b></p>- Proven experience in designing event-driven architectures and real-time data ingestion<br/><br/>- Hands-on with API-based ingestion, data validation frameworks, archival strategies, and incremental loading<br/><br/>- Strong understanding of data governance, security, and compliance in a cloud environment<br/><br/><b>Preferred Qualifications :</b></p><p><p><b><br/></b></p>- Bachelors/Masters degree in Computer Science, Engineering, or a related field<br/><br/>- Experience with streaming platforms like Kafka, Kinesis, or Spark Streaming<br/><br/>- Familiarity with data lake and data mesh architectures is a plus<br/><br/>- Excellent communication, leadership, and stakeholder management skills</p><br/></p> (ref:hirist.tech)


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