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Sr Data Engineer
Encora
Mexico1mo ago
- Seniority
- Senior
About the role
<p>Job Title: Sr Data Engineer</p>
<p>Key Skills: </p>
<p>Experience: 5+ years</p>
<p>Location Hermosillo, Mexico</p>
<p>Mode: In Person</p>
<p> </p>
<p>We at Coforge are hiring Position (21343) with the following skill set.</p>
<p data-start="486" data-end="889">In this role you will be leading projects, collaborating with your team, contributing to operational excellence. You will be instrumental in helping us build and maintain data pipelines that deliver value to our customers. You believe in quality and accountability. You have deep professional level experience in Data Engineering, including Cloud technologies such as AWS. You are able to improve production systems, and have experience implementing data engineering best practices and processes. You drive the design and deployment of new capabilities to improve the data platform. You are driven to learn and you have the ability to impact the outcomes of your team. You are driven by gaining knowledge and growing your career.</p>
<p><strong>Required Skills & Qualifications</strong></p>
<div class="ewa-rteLine">• Contribute and improve best practices on your team, aligning to industry standards</div>
<div class="ewa-rteLine">• Incrementally breakdown and manage work for yourself and at times the team to complete our highest priority projects</div>
<div class="ewa-rteLine">• Recognize and demonstrate the ability to see how day to day work maps to the big picture company goals and adapt work accordingly</div>
<div class="ewa-rteLine">• Partner with stakeholders for requirements and prioritization</div>
<div class="ewa-rteLine">• Establish and document standards and procedures for team</div>
<div class="ewa-rteLine">* Able to understand ambiguous business problems related to your work and resolve them</div>
<div class="ewa-rteLine">• Design, build and maintain robust high quality data pipelines at a team level</div>
<div class="ewa-rteLine">• Learn and grow your knowledge and skills at a senior level</div>
<div class="ewa-rteLine">• Participate in on-call support and improve data operations</div>
<div class="ewa-rteLine">• Work in close partnership with other Engineering teams, including Data Science, & cross-functional teams, such as Product Engineering</div>
<div class="ewa-rteLine">* Perform code reviews and ensure quality of deliverables</div>
<p><strong>Preferred Skills:</strong></p>
<div class="ewa-rteLine">• Bachelor's degree in Computer Science, related degree, or equivalent practical experience</div>
<div class="ewa-rteLine">• Data Engineering | 5+ years of designing & developing data pipelines or real-time applications at enterprise scale; specifically Python and/or Scala.</div>
<div class="ewa-rteLine">• Big Data Ecosystem | 5+ years of hands-on, experience with tools and platforms like Spark Streaming, EMR, Kafka.</div>
<div class="ewa-rteLine">• Cloud | 5+ years of experience in developing Big Data applications in the cloud, preferably AWS.</div>
<p><strong>Minimum Qualifications </strong></p>
<div class="ewa-rteLine">• Experience in data engineering fundamentals (data modeling, relational database concepts and ETL)</div>
<div class="ewa-rteLine">• Experience with data analysis using SQL</div>
<div class="ewa-rteLine">• Proficient in at least one programming language commonly used within Data Engineering, such as Python, Scala, or Java.</div>
<div class="ewa-rteLine">• Proficient understanding of Spark and ability to write, debug and optimize Spark code.</div>
<div class="ewa-rteLine">• Proficient understanding of various file formats and compression techniques.</div>
<div class="ewa-rteLine">• Experience with any of data pipeline orchestration tools such as Airflow or similar frameworks.</div>
<div class="ewa-rteLine">• Experience with source code management systems such as Github and developing CI/CD pipelines with tools such as Jenkins for data.</div>
<p> </p>
<p>Posted On: May 13, 2026</p>
<p>At Coforge, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.</p>
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