Data tech leader

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.