Seeking a Senior Data Engineer to provide technical guidance, develop data models, design ETL pipelines, and maintain data APIs in a collaborative setting.
About Provectus
Provectus is a global technology consulting company specializing in Data, AI/ML, DevOps, and Cloud transformation. We help enterprises innovate, scale, and achieve their digital transformation goals.
We are now looking for a Senior Data Engineer to join our growing Data Practice and collaborate with a multidisciplinary team of engineers and developers.
What You’ll Do:
- Provide hands-on technical guidance and ensure best practices in architecture, coding, and design.
- Collaborate closely with clients to understand IT environments, business needs, and digital transformation goals.
- Take ownership of project outcomes, ensuring timely delivery and alignment with client expectations.
- Proactively identify risks, challenges, and opportunities for improvement, and drive solutions forward.
- Work directly with ML Engineers to create resilient data pipelines powering Data Products.
- Define data models to integrate disparate data across organizations.
- Design, implement, and maintain ETL/ELT pipelines using modern tools.
- Perform large-scale data transformations with Spark, Trino, AWS Athena.
- Develop, test, and deploy Data API Products with Python and frameworks like Flask/FastAPI.
What We’re Looking For:
- 5+ years of hands-on data engineering experience.
- Proven track record in team leadership and technical advising.
- Strong problem-solving skills and ability to take ownership in dynamic settings.
- Solid expertise in AWS.
- Experience handling real-time and batch data pipelines with tools like Airflow, Dagster, Kafka, Apache Druid, Spark, dbt.
- Proficiency in Python and SQL.
- Familiarity with IaC tools (Terraform, AWS CloudFormation).
- Experience in building scalable APIs.
- Understanding of Data Governance (quality, lineage, security, glossary, MDM, cost optimization).
- English: Upper-Intermediate+.
Nice to Have:
- Experience with Cloud Data Platforms (Snowflake, Databricks).
- Background in Generative AI applications (chatbots, RAG).
- Relevant certifications (AWS, GCP, Azure, Databricks).
- Knowledge of BI tools (Power BI, QuickSight, Looker, Tableau).
- Experience with Data Mesh architecture.
Why Join Us?
- Work on cutting-edge Data & AI projects for global enterprises.
- Be part of a collaborative, innovative, and supportive culture.
- Grow your expertise in Data, AI/ML, and Cloud technologies.
Top Skills
Ai/Ml
Airflow
Apache Druid
AWS
Aws Athena
Aws Cloudformation
Cloud
Dagster
Data
Dbt
DevOps
Fastapi
Flask
Kafka
Python
Spark
Terraform
Trino
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