<div>"We are the foremost talent solutions provider in India. We take pride in being your trusted partner, offering comprehensive and scalable solutions to help you build your teams. Our mission is to help candidates achieve their dream careers. Whether you're a global employer venturing into the Indian market, a homegrown startup, or a large enterprise expanding your operations, your talent requirements are central to our mission."</div>

Xander Talent

<div><strong>Team Leadership:</strong></div><div>&nbsp;</div><div>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Lead and mentor a team of data engineers, providing technical guidance and support.</div><div>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Set clear objectives and priorities for the team and ensure the successful execution of projects.</div><div>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Foster a collaborative and innovative work environment. Engage and collaborate with stakeholders, business leaders and SME’s. </div><div>&nbsp;</div><div><strong>Data Pipeline Development:</strong></div><div>&nbsp;</div><div>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Build and optimize data pipelines for collecting, processing, and storing data from various sources.</div><div>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Implement data transformation and enrichment processes to support analytics and reporting.</div><div>&nbsp;</div><div><strong>Data Quality and Governance:</strong></div><div>&nbsp;</div><div>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Implement data quality checks and validation procedures to ensure data accuracy and consistency.</div><div>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Define and enforce data governance standards and best practices.</div><div>&nbsp;</div><div><strong>Integration and Collaboration:</strong></div><div>&nbsp;</div><div>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Collaborate with data analysts, data scientists, and other stakeholders to understand data requirements and provide data solutions.</div><div>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Integrate data from multiple sources, including databases, APIs, and external data providers.</div><div>&nbsp;</div><div><strong>Technology Stack:</strong></div><div>&nbsp;</div><div>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Stay up-to-date with the latest data engineering technologies and best practices. </div><div>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Select and manage the appropriate tools and technologies for data processing and storage, such as databases, data lakes, and ETL frameworks. </div><div>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Hands-on experience managing / working with Informatica, Snowflake, Java, Python, and cloud technologies is desired.</div><div>&nbsp;</div><div><strong>Performance Optimization:</strong></div><div>&nbsp;</div><div>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Monitor and optimize data pipelines for performance, reliability, and cost-effectiveness.</div><div>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Troubleshoot and resolve data-related issues as they arise.</div><div>&nbsp;</div><div><strong>&nbsp;</strong></div><div><strong>Documentation and Knowledge Sharing:</strong></div><div>&nbsp;</div><div>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Maintain thorough documentation of data processes, architectures, and workflows.</div><div>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Promote knowledge sharing within the team and across the organization.</div><div>&nbsp;</div><div><strong>Qualifications:</strong></div><div>&nbsp;</div><div>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Bachelor's or Master's degree in computer science, data engineering, or a related field.</div><div>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Proven experience in data engineering with a focus on ETL, data modeling, and data pipeline development.</div><div>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Strong programming skills in languages such as Python, Java, or Scala.</div><div>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Expertise in working with data storage solutions like databases (SQL and NoSQL), data lakes, and cloud-based storage.</div><div>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Familiarity with big data technologies and cloud platforms (e.g., AWS, Azure, GCP).</div><div>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience with cloud-based ETL solutions (e.g., AWS Glue, Azure Data Factory).</div><div>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Leadership and team management experience.</div><div>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Strong problem-solving and communication skills.</div><div>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Understanding of data governance and data quality best practices.</div><div>&nbsp;</div><div><strong>Optional Qualifications:</strong></div><div>&nbsp;</div><div>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Relevant certifications in data engineering or cloud platforms.</div><div>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience with real-time data processing and streaming technologies.</div><div>&nbsp;</div><div><br></div>