Principal Data Engineer

Anko GCC; Bengaluru; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Anko GCC is looking for a Principal Data Engineer to lead cloud data transformations. This role demands expertise in AWS, GCP, and Azure, along with strong skills in SQL and data warehousing. With a focus on innovation, you will work within a diverse environment where contributions matter to millions of customers.

If you have 10 to 15 years of experience in data engineering, with proficiency in programming and DevOps practices, we encourage you to apply and be a part of our collaborative team.

Qualifications

• 10 to 15 years of experience in a relevant field.
• Cloud multi-platform experience with AWS, GCP, Azure.
• Experience with advanced SQL, data modeling, and ETL processes.

Skills

Cloud Platforms

Data Warehousing & SQL

Programming Languages

Streaming & Messaging

Data Quality, Transformation & Governance

DevOps & Orchestration

Knowledge working with ML & AI Platform

Job description

Brighter Futures Start Here At Anko you’ll be joining a diverse team who come together to collaborate globally around tech. We are an innovation hub which power and support our retail brands. You’ll feel the impacts of the work you’ll do for our millions of customers and team members every day. Our brands are focused on being customer-led, digitally enabled retailers, providing you with challenging and rewarding work that you will be proud of. Join our team, choose your own path and work on projects that excite you.

Role: Principal Data Engineer

Experience: 10 to 15 years

Technical Skills Required

• Cloud Platforms — Multi-cloud fluency across AWS, GCP, and Azure ; with strong grasp of compute, storage, networking, IAM, and FinOps principles
• Data Warehousing & SQL — Experience with cloud data warehouses (Snowflake, BigQuery, Databricks SQL); query engines (Trino, Spark SQL); advanced SQL and data modeling patterns (lakehouse, data vault, dimensional modeling)
• Programming Languages — Proficient in Python/Java/Scala for data engineering, ML pipelines, and distributed systems; SQL for advanced analytics and performance tuning
• Streaming & Messaging — Hands-on experience with Kafka, Kafka Streams, KSQLDB, and Kafka Connect (Confluent preferred); real-time processing using Apache Flink or Spark Structured Streaming; schema management with Avro or Protobuf
• Data Quality, Transformation & Governance — dbt for transformation and testing; data quality frameworks (Great Expectations, Soda); open table formats (Iceberg, Delta Lake); data cataloging and lineage (DataHub, OpenLineage); GDPR and CCPA compliance
• DevOps & Orchestration — Containerization with Docker and Kubernetes; CI/CD pipelines (Jenkins, GitHub Actions); workflow orchestration using Airflow, Prefect, or Dagster; infrastructure as code with Terraform or Pulumi
• Knowledge working with ML & AI Platform — ML lifecycle management with MLflow or Kubeflow; feature store; model serving (Ray Serve, Triton, BentoML); LLM/GenAI platforms including RAG pipelines, vector databases, and AI gateways

A Place You Can Belong

We celebrate the rich diversity of the communities in which we operate and are committed to creating inclusive and safe environments where all our team members can contribute and succeed. We believe that all team members should feel valued, respected, and safe irrespective of your gender, ethnicity, indigeneity, religious beliefs, education, age, disability, family responsibilities, sexual orientation and gender identity and we encourage applications from all candidates.