Dotnet Developer
July 2, 2025Sr. QA Tester
July 4, 2025 
        Full-Time, Remote
     
Posted 4 months ago
     
Location – Remote / fulltime
Experience – 6 to 10 years
Budget – 1L to 1.50L
JD:-
About the Role:
We are seeking a highly skilled and experienced Senior Data Engineer to join our growing data team. As a Senior Data Engineer, you will be responsible for designing, developing, and maintaining robust, scalable data pipelines and architectures to support advanced analytics and business intelligence initiatives.
Key Responsibilities:
- Design, build, and maintain scalable ETL/ELT data pipelines to process structured and unstructured data.
- Collaborate with data scientists, analysts, and business stakeholders to understand data needs.
- Optimize data systems and pipelines for performance, scalability, and reliability.
- Work with big data tools and cloud platforms (AWS/GCP/Azure) to manage large-scale data processing.
- Implement data governance, quality, and security best practices.
- Monitor and troubleshoot data pipeline issues and ensure data integrity.
- Mentor junior engineers and contribute to overall data engineering best practices.
Required Skills and Qualifications:
- 6 to 10 years of experience in Data Engineering or related fields.
- Strong proficiency in SQL and at least one programming language (Python, Scala, or Java).
- Experience with big data tools and frameworks such as Spark, Hadoop, Hive, Kafka, etc.
- Hands-on experience with cloud data platforms like AWS (Glue, Redshift, S3), GCP (BigQuery, Dataflow), or Azure (Data Factory, Synapse).
- Strong understanding of data modeling, warehousing concepts, and modern data architectures (Data Lakes, Lakehouses).
- Experience with orchestration tools like Airflow, Prefect, or Dagster.
- Familiarity with CI/CD practices, Git, Docker, and infrastructure as code is a plus.
- Excellent problem-solving skills and a strong attention to detail.
- Strong communication skills and ability to work in a collaborative remote environment.
Preferred Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Certifications in cloud platforms (AWS, Azure, GCP) are a plus.
- Exposure to real-time data processing and stream processing systems.
Why Join Us?
- 100% remote work flexibility
- Opportunity to work with cutting-edge technologies
- Collaborative and innovative work culture
- Competitive compensation and benefits