🔹 Job 1: Senior Data Engineer – Cloud & Modern Data Architectures
📍 Location: Hyderabad (WFO)
📅 Experience: 6-8 Years
📢 Job Type: Full-time
🚀 Role Overview:
We are looking for a Senior Data Engineer with expertise in ETL/ELT, Data Engineering, Data Warehousing, Data Lakes, Data Mesh, and Data Fabric architectures. The ideal candidate should have hands-on experience in at least one or two cloud data platforms (AWS, GCP, Azure, Snowflake, or Databricks) and a strong foundation in building PoCs, mentoring freshers, and contributing to accelerators and IPs.
🔹 Key Responsibilities:
✅ Design and implement cloud-based data pipelines using AWS, Azure, GCP, Snowflake, or Databricks.
✅ Architect data lakes, data warehouses, and scalable data platforms.
✅ Develop PoCs, MVPs, and IPs to drive innovation in data services.
✅ Mentor and guide interns and freshers, fostering a strong data engineering culture.
🔹 Required Skills & Experience:
✅ Must-Have:
- 6-8 years of experience in Data Engineering & Cloud Data Services.
- Hands-on with AWS (Redshift, Glue), GCP (BigQuery, Dataflow), Azure (Synapse, Data Factory), Snowflake, Databricks.
- Strong SQL, Python, or Scala skills.
- Knowledge of Data Mesh & Data Fabric principles.
✅ Nice-to-Have:
- Exposure to MLOps, AI integrations, and Terraform/Kubernetes for DataOps.
Contributions to open-source, accelerators, or internal data frameworks.
📩 Please share your references to Talent@motivitylabs.com / referrals@motivitylabs.com
