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Lead Data Software Engineer (Python, Azure, Databricks)

Indeed
Full-time
Onsite
No experience limit
No degree limit
79Q22222+22, MX, 86200
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Description

Summary: Lead Data Software Engineer to drive the design, development, and optimization of scalable data solutions and lead a talented team. Highlights: 1. Lead design, development, and deployment of scalable data solutions 2. Mentor and guide a team of data engineers 3. Collaborate with diverse stakeholders on high-impact data products We are seeking an experienced **Lead Data Software Engineer** to drive the design, development, and optimization of scalable data solutions. In this role, you will lead a talented team of engineers, architect robust data pipelines, and collaborate with cross\-functional stakeholders to deliver high\-impact data products that support business objectives. **Responsibilities** * Lead the design, development, and deployment of scalable data engineering solutions * Architect and implement efficient data pipelines and ETL processes * Mentor and guide a team of data engineers, fostering best practices and technical growth * Collaborate with data scientists, analysts, and business stakeholders to understand data requirements * Ensure data quality, integrity, and governance across all engineering initiatives * Optimize performance, reliability, and cost\-efficiency of cloud\-based data platforms * Drive code reviews, technical documentation, and engineering standards * Troubleshoot complex data issues and provide timely resolutions * Stay current with emerging data technologies and recommend improvements * Partner with leadership to define the data engineering roadmap and strategy **Requirements** * 5\+ years of experience in data engineering or software engineering roles, with at least 1 year in a lead capacity * Proficiency in Python for data processing and automation * Expertise in Microsoft Azure cloud services and ecosystem * Skills in Databricks for large\-scale data processing and analytics * Background in designing and maintaining scalable data pipelines and ETL workflows * Understanding of data modeling, warehousing concepts, and performance optimization * Capability to lead technical teams and mentor junior engineers * Strong communication and collaboration skills to work effectively with cross\-functional teams * Proficiency in English (both written and spoken) at a minimum of B2 level **We offer** * Career plan and real growth opportunities * Unlimited access to LinkedIn learning solutions * Constant training, mentoring, online corporate courses, eLearning and more * English classes with a certified teacher * Support for employee’s initiatives (Algorithms club, toastmasters, agile club and more) * Enjoyable working environment (Gaming room, napping area, amenities, events, sport teams and more) * Flexible work schedule and dress code * Collaborate in a multicultural environment and share best practices from around the globe * Hired directly by EPAM \& 100% under payroll * Law benefits (IMSS, INFONAVIT, 25% vacation bonus) * Major medical expenses insurance: Life, Major medical expenses with dental \& visual coverage (for the employee and direct family members) * 13 % employee savings fund, capped to the law limit * Grocery coupons * 30 days December bonus * Employee Stock Purchase Plan * 12 vacations days * Official Mexican holidays, plus 5 extra holidays (Maundry Thursday and Friday, November 2nd, December 24th \& 31st) * Monthly non\-taxable amount for the electricity and internet bills EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi\-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting\-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential. *By applying to our role, you are agreeing that your personal data may be used as in set out in EPAM´s Privacy Notice and Policy.*

Source:  indeed View original post
Juan García
Indeed · HR

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