Senior Cloud Data Engineer

2 days ago

Hyderabad, Telangana, India beBeeData Full time US$ 12,00,000 - US$ 15,00,000
Senior Data Engineer Role

We are seeking an experienced Senior Data Engineer to join our team. As a Senior Data Engineer, you will play a key role in designing, building, and maintaining scalable cloud-native data pipelines using AWS.

Key Responsibilities:

• Design, build, and maintain scalable cloud-native data pipelines using AWS.
• Develop ETL/ELT workflows using Glue, PySpark, and Python.
• Optimize data modeling, partitioning, and querying strategies.

Qualifications:

• Bachelor's degree in Computer Science or Engineering.
• 5-7 years of experience in data engineering.
• Strong expertise in cloud development, particularly with AWS services such as Aurora PostgreSQL RDS, Glue, S3, IAM, EC2, Lambda.
• Hands-on experience and implementing best practices with AWS Glue, Glue data catalog, and PySpark.
• Proficient in PySpark and Python and expertise in SQL.
• Experience in AWS Data Lake, Apache Iceberg, and Lake Formation.
• Understanding of data modeling.
• Strong problem-solving and communication skills.
• Experience working in agile, multi-project environments.
• Experience with CI/CD pipelines and DevOps practices.

Benefits:

As a Senior Data Engineer at our company, you will have the opportunity to work on challenging projects, collaborate with a talented team, and develop your skills in cloud-based data engineering.

This is a full-time position based in Hyderabad. If you are passionate about data engineering and want to take your career to the next level, please submit your application along with your resume and cover letter.

Our team is responsible for designing, building, and maintaining scalable cloud-native data pipelines using AWS. We work closely with cross-functional teams to deliver high-quality solutions that meet business needs. In this role, you will be responsible for:

Designing and building scalable data pipelines using AWS Glue and PySpark.
Developing ETL/ELT workflows using Glue and Python.
Optimizing data modeling, partitioning, and querying strategies.

You will work closely with our software engineers, data scientists, and product managers to deliver end-to-end solutions that meet business requirements. Your strong technical skills and ability to communicate effectively will make you a valuable asset to our team.

If you are a motivated individual with a passion for data engineering, we encourage you to apply for this exciting opportunity. Don't miss out on the chance to grow your career and contribute to innovative projects.

What You Will Need:

To succeed in this role, you will need:
Strong knowledge of AWS services, including Glue, S3, IAM, EC2, and Lambda.
Experience with PySpark and Python programming languages.
Familiarity with data modeling and database design principles.
Ability to communicate complex technical concepts to non-technical stakeholders.
Strong problem-solving skills and attention to detail.

Knowledge of other technologies, such as Apache Iceberg and Lake Formation, is a plus. Additionally, experience working in agile, multi-project environments and CI/CD pipelines is highly valued.

We offer competitive compensation packages and opportunities for growth and professional development. Join our team today and take the first step towards advancing your career in data engineering.

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