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Urgent! Senior Data Engineer - ETL/Python Job Opening In Bengaluru – Now Hiring East Vantage

Senior Data Engineer ETL/Python



Job description

<p><p><b>Position :</b> Senior Data Engineer<br/><br/><b>Location :</b> Bengaluru, India (Work From Anywhere)<br/><br/><b>Job Type :</b> Full-time<br/><br/><b>Job Summary :</b><br/><br/>We are seeking an experienced Senior Data Engineer to design, build, and maintain robust data infrastructure and scalable pipelines.

</p><p><br/></p><p>The ideal candidate will have deep expertise in AWS-based data platforms, big data technologies, and data architecture to effectively support our analytics and machine learning initiatives.

</p><p><br/></p><p>This role requires advanced proficiency in Python and SQL to automate workflows and ensure high data quality and security across the organization.<br/><br/><b>Key Responsibilities :</b><br/><br/>- Data Pipeline Development : Design, develop, and maintain highly scalable and efficient data pipelines utilizing core AWS services such as S3, Glue, Lambda, and RDS.<br/><br/>- ETL/ELT Processes : Build robust ETL (Extract, Transform, Load) or ELT processes to efficiently ingest, transform, and store large volumes of data for consumption.<br/><br/>- Database Management : Manage and optimize relational databases (e.g., PostgreSQL, MySQL) to ensure performance, scalability, and integrity, supporting evolving business requirements.<br/><br/>- Automation & Workflow : Automate complex data workflows and processing tasks using advanced scripting in Python, SQL, and Bash.<br/><br/>- Data Quality & Governance : Implement thorough data validation, monitoring, and governance best practices to ensure high data quality and integrity across all systems.<br/><br/>- DevOps & Infrastructure : Implement DevOps and CI/CD practices for data pipelines using tools like Terraform (for Infrastructure as Code) and GitHub Actions.<br/><br/>- Data Enablement : Enable data accessibility and facilitate insights generation by preparing data structures for BI tools such as Tableau or Metabase.<br/><br/>- Cross-Functional Collaboration : Collaborate effectively with analysts, data scientists, and other cross-functional teams to translate complex business needs into effective and scalable data solutions.<br/><br/><b>Qualifications :</b><br/><br/>- Experience : Proven experience as a Senior Data Engineer (46+ years suggested by skill depth).<br/><br/>- Cloud Expertise : Strong background and hands-on experience with AWS-based data platforms (S3, Glue, Lambda, RDS).<br/><br/>- Programming Proficiency : Advanced proficiency in Python for scripting, automation, and data transformation logic.<br/><br/>- Database Skills : Strong SQL skills and proven experience with database management (PostgreSQL, MySQL, etc.).<br/><br/>- Data Architecture : Solid grasp of ETL/ELT development principles and building efficient data pipelines.<br/><br/>- IaC & DevOps : Experience using Infrastructure as Code tools like Terraform or CloudFormation, and familiarity with CI/CD workflows and Git version control.<br/><br/>- Data Quality : Strong commitment to data quality, security, and governance best practices.<br/><br/><b>Preferred Skills :</b><br/><br/>- Machine Learning : Exposure to ML technologies such as SageMaker.<br/><br/>- BI Tools : Familiarity with BI tools like Tableau or Metabase for reporting and visualization.<br/><br/>- Agile Experience : Experience working in Agile/Scrum environments with tools like Jira and Confluence.<br/><br/>- Testing : Familiarity with automated testing methodologies for data pipelines.</p><br/></p> (ref:hirist.tech)


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