Cloud DevOps & Integration Consultant

Cloud Engineering - Consulting

The Role:

We are looking for 3-5 years of experience as DevOps & Cloud Engineer or Integration Engineering, a highly skilled Senior DevOps & Cloud Engineer to design, build, and optimize next-generation integration platforms for our clients. The ideal candidate is a master of core DevOps and Integration principles such as distributed computing and advanced data modelling and possesses deep, hands-on expertise in at least one major cloud ecosystem (AWS, Azure or GCP). You will be responsible for the entire data lifecycle, from real-time ingestion to providing analytics-ready datasets for our Machine Learning and Business Intelligence teams.

Your key responsibilities will include -:

• Architect Pipelines: Design and build scalable ETL/ELT pipelines to ingest high-velocity telemetry and log data into our cloud warehouse.
• Model Implementation: Partner with Data Scientists to build and maintain Feature Stores and automated ML training pipelines.
• Infrastructure as Code: Utilize Docker, Kubernetes, and Terraform to deploy and manage containerized data services.
• Optimization: Continuously monitor and optimize query performance, sharding strategies, and cloud costs across the data stack.
• Data Governance: Ensure high data quality, integrity, and security standards are met across all production environments.

Mandatory Skills:

• Programming: Expert-level Python and Advanced SQL (Window functions, CTEs, and performance tuning).
• Data Modeling: Proven experience with Star/Snowflake Schemas and managing Slowly Changing Dimensions (SCD Type 1, 2, & 3).
• Distributed Computing: Hands-on experience with Apache Spark (PySpark/Scala) for processing multi-terabyte datasets.
• Orchestration & Transformation: Proficiency with Apache Airflow for workflow management and dbt for modular data modeling.
• Streaming: Experience with Apache Kafka or similar message brokers for event-driven architectures.

Key tech stacks - Cloud Expertise (either Azure or GCP):

• Data Warehouse - Azure Synapse Analytics / Google BigQuery
• Storage / Lake - Azure Data Lake (ADLS Gen2) / Google Cloud Storage
• Serverless ETL - Azure Data Factory (ADF) / Google Cloud Dataflow
• Managed Spark - Azure Databricks / Google Cloud Dataproc
• Streaming/Pub-Sub - Azure Event Hubs / Google Cloud Pub/Sub
• Compute / NoSQL - Azure Functions / Cosmos D / Cloud Functions / Bigtable
• Governance & Lineage - Data Catalog / Microsoft Purview / Lake Formation / Google Dataplex

The person:

• Outstanding interpersonal skills with the ability to inspire teams and develop excellent client relationships.
• Previous experience in consulting and working on complex solutions to business executives.
• Embraces a growth mindset for business development, with an ability to influence senior stakeholders.
• Excellent communication (written and oral) skills capable of discussing complex ideas with various groups, ranging from a board room to business unit leads.
• Good team player with strong commitment to professional and client service excellence.