Description

Job Description:
We are seeking a highly skilled Data Engineer with expertise in Apache Spark,
Scala, and Java to join our dynamic team. The ideal candidate will have a strong
background in data engineering, a deep understanding of big data technologies,
and the ability to design and implement scalable data processing solutions.
Responsibilities:
• Data Pipeline Development: Design, develop, and maintain scalable data
pipelines using Apache Spark, Scala, and Java.
• Data Integration: Integrate data from various sources, ensuring data
quality, consistency, and accessibility.
• Performance Optimization: Optimize and tune data processing workflows
for performance and efficiency.
• Collaboration: Work closely with data scientists, analysts, and other
stakeholders to understand data requirements and deliver effective solutions.
• Data Architecture: Contribute to the design and architecture of the data
infrastructure, ensuring it supports the business needs and scalability
requirements.
• Documentation: Document data processing workflows, architectures, and
best practices.
• Monitoring and Troubleshooting: Implement monitoring solutions to
ensure data pipeline reliability and troubleshoot issues as they arise.
• Continuous Improvement: Stay updated with the latest industry trends
and technologies, and continuously seek ways to improve the data engineering
processes.

Requirements

Job Description:
We are seeking a highly skilled Data Engineer with expertise in Apache Spark,
Scala, and Java to join our dynamic team. The ideal candidate will have a strong
background in data engineering, a deep understanding of big data technologies,
and the ability to design and implement scalable data processing solutions.
Responsibilities:
• Data Pipeline Development: Design, develop, and maintain scalable data
pipelines using Apache Spark, Scala, and Java.
• Data Integration: Integrate data from various sources, ensuring data
quality, consistency, and accessibility.
• Performance Optimization: Optimize and tune data processing workflows
for performance and efficiency.
• Collaboration: Work closely with data scientists, analysts, and other
stakeholders to understand data requirements and deliver effective solutions.
• Data Architecture: Contribute to the design and architecture of the data
infrastructure, ensuring it supports the business needs and scalability
requirements.
• Documentation: Document data processing workflows, architectures, and
best practices.
• Monitoring and Troubleshooting: Implement monitoring solutions to
ensure data pipeline reliability and troubleshoot issues as they arise.
• Continuous Improvement: Stay updated with the latest industry trends
and technologies, and continuously seek ways to improve the data engineering
processes.
Qualifications:
• Education: Bachelor’s or Master’s degree in Computer Science,
Information Technology, or a related field.
Experience:
• Proven experience as a Data Engineer or in a similar role.
• Extensive experience with Apache Spark and Scala.
• Strong programming skills in Java.

Technical Skills:

• Proficiency in big data technologies and frameworks.
• Experience with data modeling, ETL processes, and data warehousing
solutions.
• Familiarity with cloud platforms such as AWS.
• Knowledge of SQL and NoSQL databases.
• Understanding of data security and privacy best practices.
Soft Skills:
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.
• Ability to work in a fast-paced, dynamic environment.

Preferences

• Proven experience as a Data Engineer or in a similar role.
• Extensive experience with Apache Spark and Scala.
• Strong programming skills in Java.

Technical Skills:

• Proficiency in big data technologies and frameworks.
• Experience with data modeling, ETL processes, and data warehousing
solutions.
• Familiarity with cloud platforms such as AWS.
• Knowledge of SQL and NoSQL databases.
• Understanding of data security and privacy best practices.
Soft Skills:
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.
• Ability to work in a fast-paced, dynamic environment.

Job Responsibilities

Data Engineer

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!

Job role