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Job Title: Data Engineer – Full Stack
Location: Worli, Mumbai (5 Days Work From Office)
Experience: 2–3 Years
Job Overview
We are looking for a Data Engineer – Full Stack with strong data engineering fundamentals and hands-on experience in backend API development. The ideal candidate should be comfortable working across the data pipeline, backend services, and basic frontend development to build data-driven applications and dashboards.
Key Responsibilities
• Design, develop, and maintain ETL pipelines and data processing workflows.
• Work with large datasets using PySpark and SQL for data transformation and analysis.
• Develop and maintain backend APIs using Python frameworks such as FastAPI or Flask.
• Build and enhance data-driven dashboards and user interfaces using React and Node.js.
• Integrate data from multiple sources through APIs and external systems.
• Collaborate with cross-functional teams to deliver end-to-end data products.
• Ensure data quality, performance, and scalability across applications.
• Troubleshoot and optimize existing data workflows and applications.
Required Skills
• Strong understanding of Data Engineering concepts.
• Hands-on experience with PySpark, ETL Development, and SQL.
• Proficiency in Python programming.
• Experience developing APIs using FastAPI or Flask.
• Basic frontend development experience with React.js and Node.js.
• Ability to build and maintain data-driven dashboards and applications.
• Good problem-solving and analytical skills.
Good to Have
• Experience in end-to-end data product development.
• Experience integrating third-party APIs and UI applications.
• Exposure to cloud platforms and modern data architectures.
• Understanding of software development best practices and version control.
Preferred Candidate Profile
• 2–3 years of relevant experience in Data Engineering and Full Stack Development.
• Strong communication and collaboration skills.
• Ability to work in a fast-paced environment and take ownership of deliverables.
Interested candidates can share their updated CV at: [Confidential Information]
WhatsApp: 8827565832
Job ID: 149360353
Skills:
snowflake , Data Quality, Data Modeling, Kafka, Data Warehousing, Data Governance, Python, Sql, Etl, ELT, Airflow
Skills:
data engineering , Cobol, Sql, Unix, Blaze, TRIAD, wTMS
Skills:
Azure Sql, Azure Data Lake, Azure Databricks, Azure Data Factory
Skills:
Java, Scala, Sql, Gitlab, Agile Development, Oop Concepts, data structures, Python, AWS, data transformation logic, data validation frameworks, vector databases, RAG AI Agents, prompt engineering, LLM integrations, semantic search, ETL automation solutions
Skills:
Metadata Management, Sql, ELT, Apache Airflow, Data Quality, Data Warehousing, Python, Etl, Oracle-to-GCP data migration, audit frameworks, Reconciliation, GCP IAM, Google BigQuery, Pub Sub, watermarking, Oracle databases, Google Cloud Dataflow, Data Validation, DAG Factory, Google Cloud Composer