Sr. Data Engineer

TymblHub; Hyderabad; On-site; INR 2,540,000 - 2,990,000; Full time

Job summary

Anblicks in Hyderabad is seeking a Senior Data Engineer to design and implement large-scale data pipelines and data architectures, driving business growth with scalable data systems. This onsite role requires strong data engineering expertise and a collaborative mindset.

Ideal candidates have 6–10 years of experience with Hadoop, Spark, NoSQL, and possess excellent problem-solving, communication, and teamwork skills. Hyderabad-based opportunity with hands-on data engineering focus.

Qualifications

• Strong understanding of data engineering principles and practices.
• Experience with big data technologies such as Hadoop, Spark, and NoSQL databases.
• Excellent problem-solving skills and attention to detail.
• Ability to work collaboratively in a team environment.
• Strong communication and interpersonal skills.
• Ability to design and implement scalable data architectures.

Responsibilities

• Design and implement scalable data pipelines using various technologies.
• Collaborate with cross-functional teams to identify and prioritize project requirements.
• Develop and maintain large-scale data systems that meet business needs.
• Ensure data quality and integrity by implementing data validation and testing procedures.
• Optimize data systems for performance and efficiency.
• Troubleshoot and resolve complex technical issues related to data systems.

Skills

Data engineering principles

Problem solving

Team collaboration

Communication skills

Tools

Hadoop

Spark

NoSQL databases

Job description

# Sr. Data EngineerAnblicksPosted on August 19, 2026---Experience6 - 10 yrsSalary (CTC)₹25.4L - ₹29.9LJob LocationHyderabad, IndiaVacancy1DesignationSenior Data EngineerJob TypeONSITE---## Job DescriptionWe are looking for a skilled Sr. Data Engineer to join our team at Anblicks, responsible for designing and implementing large-scale data systems that drive business growth. The ideal candidate will have a strong background in data engineering and excellent problem-solving skills.### Roles and Responsibility* Design and implement scalable data pipelines using various technologies.* Collaborate with cross-functional teams to identify and prioritize project requirements.* Develop and maintain large-scale data systems that meet business needs.* Ensure data quality and integrity by implementing data validation and testing procedures.* Optimize data systems for performance and efficiency.* Troubleshoot and resolve complex technical issues related to data systems.### Job Requirements* Strong understanding of data engineering principles and practices.* Experience with big data technologies such as Hadoop, Spark, and NoSQL databases.* Excellent problem-solving skills and attention to detail.* Ability to work collaboratively in a team environment.* Strong communication and interpersonal skills.* Ability to design and implement scalable data architectures.Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.