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Role Overview
We are seeking a Delivery Lead to lead the end‑to‑end delivery of data platforms and web‑based data solutions. This role blends hands-on data engineering expertise with strong delivery ownership and people leadership.
The ideal candidate will manage a cross‑functional team of 7–9 engineers (Data Engineers, DevOps Engineers, and Full‑Stack Developers), work closely with onshore Solution Architects, and act as the primary bridge between business stakeholders and technical execution.
Key Responsibilities & Day‑to‑Day Expectations
Delivery & Technical Leadership
Team Leadership & People Management
Stakeholder & Client Collaboration
DevOps & Platform Excellence
Required Technical Skills
Core Data Engineering Skills
Cloud & Platform Skills
Functional Skills
Domain & Project Experience
Team Size & Stakeholder Interaction Summary
Job ID: 148885629
Skills:
snowflake , BigQuery, Pyspark, Redshift, Sql, Redis, Apache Airflow, Docker, Apache Kafka, Databricks, FastAPI, Kubernetes, Python, LangChain, Qdrant, Pinecone, Anthropic, Azure OpenAI, LangGraph, dbt, Weaviate
Skills:
Spark - Scala, Cloudformation, Dynamodb, Emr, Redshift, Kinesis, Cloudwatch, Sqs, Oozie, Open Search, Amazon API Gateway, SCT, Macie, Dms, Athena
Skills:
snowflake , Java, Nosql, Rust, Data Modeling, Scala, Spark, Python, Sql, Hive, Azure Data Factory, AWS Glue, Data Warehousing, Redshift, Medallion architecture, Big Query, Airflow, IICS, Metallion, GCP Composer
Skills:
Apache Spark, Python, Apache Iceberg
Skills:
Github, S3, Aws Services, Agile Methodologies, Cloudformation, AWS Glue, Redshift, Sql, Nosql, Docker, MySQL, AWS ECS, Spark, AWS IAM, MongoDB, Python, Scrum, Multi-Dimensional Data Modelling, GitHub Actions, SonarCloud, Enterprise Data Warehouse concepts, Infrastructure as Code, ETL pipelines, Xp, Kanban