Data Engineer

Were looking for a skilled  Senior Data Engineer  with strong experience in distributed systems Python / Scala and modern data engineering tools to help design and implement an end-to-end data architecture for a leading enterprise client. This role is part of a strategic initiative to enable robust analytics BI and operational workflows across both on-premise and cloud environments.

In this role youll work closely with both Blends internal teams and client stakeholders to build and optimize data pipelines support data modeling efforts and ensure reliable data flows for analytics reporting and business decision-making.

This position is ideal for engineers with a strong data foundation who are looking to apply their skills in large-scale modern data environments while gaining exposure to advanced architectures and tooling.

You will :

Design and implement an end-to-end data solution architecture tailored to enterprise analytics and operational needs.

Build maintain and optimize  data pipelines and transformations  using  Python SQL and Spark .

Manage large-scale data storage and processing with  Iceberg Hadoop and HDFS .

Develop and maintain  dbt models  to ensure clean reliable and well-structured data.

Implement robust  data ingestion processes integrating with  third-party APIs  and on-premise systems.

Collaborate with cross-functional teams to align on business goals and technical requirements.

Contribute to documentation and continuously improve engineering and data quality processes.

Qualifications :

2 years of experience in  data engineering including at least  1 year with on-premise systems .

Proficiency in  Python  for data workflows and pipeline development.

Preferred Qualifications

Masters degree in  Data Science  or a related field.

Experience with  Airflow  or other orchestration tools.

Hands-on experience with  Cursor Copilot or similar AI-powered developer tools .

Strong experience with  SQL Spark Iceberg Hadoop HDFS and dbt .

Familiarity with  third-party APIs  and data ingestion processes.

Excellent communication skills with the ability to work independently and engage effectively with both technical and non-technical stakeholders.

Additional Information :

Our Perks and Benefits :

Learning Opportunities :

• Certifications in AWS (we are AWS Partners) Databricks and Snowflake.
• Access to AI learning paths to stay up to date with the latest technologies.
• Study plans courses and additional certifications tailored to your role.
• Access to Udemy Business offering thousands of courses to boost your technical and soft skills.
• English lessons to support your professional communication.

Mentoring and Development :

Career development plans and mentorship programs to help shape your path.

Celebrations & Support :

Flexible working options to help you strike the right balance.

Remote Work : No

Employment Type : Full-time

Key Skills

Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala

Experience : years

Vacancy : 1