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Data Engineer IRC236085
| Job | IRC236085 |
| Location | India - Noida |
| Designation | Senior Software Engineer |
| Experience | 3-5 years |
| Function | Engineering |
| Skills | Data Visualization, Power BI |
| Work Model: | Hybrid |
Description
• Design and implement scalable and efficient data pipelines for ingesting, processing, and transforming large volumes of data from various sources.
• Develop and maintain data models to support analytical reporting and business intelligence needs.
• Utilize PySpark, SQL, and other relevant technologies to perform data manipulation, aggregation, and analysis.
• Work closely with cross-functional teams to understand data requirements and translate them into technical solutions.
• Collaborate with Data Scientists and Analysts to ensure data integrity, accuracy, and consistency in analytics and reporting.
• Stay updated on emerging trends and best practices in data engineering and analytics technologies.
• Troubleshoot and optimize existing data pipelines and processes to improve performance and reliability.
• Provide technical expertise and support for data-related initiatives and projects.
Requirements
We are seeking a highly skilled and experienced Data Engineer to join our dynamic team. The ideal candidate will be passionate about data, with a strong background in data modeling, pipeline creation, and analytics technologies. As a Data Engineer, you will play a crucial role in designing, developing, and maintaining our data infrastructure to support our business objectives.
• Bachelor’s degree in Computer Science, Engineering, or a related field. Master’s degree preferred.
• Proven experience (1-5 years) working as a Data Engineer or similar role in a fast-paced environment.
• Strong proficiency in data modeling concepts and techniques.
• Hands-on experience with PySpark and SQL for data processing and analysis.
• Experience with data modeling
• Proficiency in data visualization tools, particularly Power BI, for developing insightful dashboards and reports.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills, with the ability to work effectively in a team environment.
• Experience with Agile methodologies and version control systems (e.g., Git) is a plus.
Job Responsibilities
• Design and implement scalable and efficient data pipelines for ingesting, processing, and transforming large volumes of data from various sources.
• Develop and maintain data models to support analytical reporting and business intelligence needs.
• Utilize PySpark, SQL, and other relevant technologies to perform data manipulation, aggregation, and analysis.
• Work closely with cross-functional teams to understand data requirements and translate them into technical solutions.
• Collaborate with Data Scientists and Analysts to ensure data integrity, accuracy, and consistency in analytics and reporting.
• Stay updated on emerging trends and best practices in data engineering and analytics technologies.
• Troubleshoot and optimize existing data pipelines and processes to improve performance and reliability.
• Provide technical expertise and support for data-related initiatives and projects.
We Offer
Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them.
Collaborative Environment: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities!
Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays.
Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training(GL Vantage, Toast Master),Stress Management program, professional certifications, and technical and soft skill trainings.
Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Group Term Life Insurance, Group Personal Accident Insurance , NPS(National Pension Scheme ), Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses.
Fun Perks: We want you to love where you work, which is why we host sports events, cultural activities, offer food on subsidies rates, Corporate parties. Our vibrant offices also include dedicated GL Zones, rooftop decks and GL Club where you can drink coffee or tea with your colleagues over a game of table and offer discounts for popular stores and restaurants!