Senior Cloud Data Pipeline Specialist

2 days ago

kottayam, India beBeeDataEngineering Full time

Establish a Career in Data Engineering with UsJob Description:Role OverviewAs a key member of our global data engineering team, you will be responsible for designing and developing scalable data pipelines using modern data engineering tools and frameworks. You will work closely with analytics, BI, ML, and backend teams to deliver end-to-end data solutions.Key Responsibilities:Design and build reliable data pipelines using cloud-native data services (AWS Glue, Redshift, EMR, Azure Data Factory, Synapse, GCP BigQuery, Dataflow).Develop ETL/ELT workflows for structured, semi-structured, and unstructured data using Python or SQL.Implement data ingestion, transformation, storage, and processing solutions using Spark, Databricks, Kafka, or similar technologies.Collaborate with cross-functional teams to optimize performance, cost, and reliability of data systems for large-scale deployments.Ensure data quality, integrity, governance, and security across data workflows.Support continuous integration and delivery (CI/CD) pipelines, version control, and automation related to data environments.Required Skills and Qualifications:Minimum 2 years of hands-on experience as a Data Engineer.Strong experience with Python or SQL (or both).Practical knowledge of data pipeline development using Spark, PySpark, or equivalent.Hands-on experience with one major cloud platform (AWS, Azure, or GCP).Understanding of data modeling, warehousing concepts, and distributed systems.Experience working with ETL/ELT tools or frameworks.Benefits:Work on large-scale, cloud-native data engineering projects.Fully remote opportunities with flexible working hours.Long-term freelance roles with consistent project work.Opportunities to work with modern data stacks, lakehouse architectures, and global teams.How to Apply:Send your CV to us.

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