Senior Data Engineer – Cloud & Modern Data Architectures

🔹 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

Skills

• Python
• SQL
• Snowflake
• Databricks
• AWS
• Azure
• GCP
• Kubernetes
• Terraform
• MLOps