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Data Engineer - Fully Remote (Global Data Platform & Analytics Projects)
Data Engineer - Fully Remote (Global Data Platform & Analytics Projects)SkillsCapital • Baddi, Republic Of India, IN
Data Engineer - Fully Remote (Global Data Platform & Analytics Projects)

Data Engineer - Fully Remote (Global Data Platform & Analytics Projects)

SkillsCapital • Baddi, Republic Of India, IN
1 day ago
Job type
  • Remote
Job description

We are hiring multiple Data Engineers to join international data platform, analytics, and cloud engineering teams. These fully remote, long-term freelance roles are ideal for engineers who can build scalable data pipelines, work with modern cloud-native data stacks, and support large-scale enterprise data initiatives.

Open Roles (Multiple Positions)

We are recruiting across core and specialized data engineering areas :

Core Data Engineering

  • Data Engineer
  • Senior Data Engineer
  • Cloud Data Engineer (AWS / Azure / GCP)

Specialized Roles

  • ETL / ELT Developer
  • Big Data Engineer (Spark / Hadoop / Databricks)
  • Data Pipeline Engineer
  • Data Platform Engineer
  • Streaming Data Engineer (Kafka / Kinesis / Pub / Sub)
  • If you have strong experience building data systems or pipelines, we encourage you to apply.

    Engagement Details

  • Type : Independent Freelance Consultant
  • Location : 100% Remote
  • Duration : Initial 6–12 month contract (extendable to multi-year)
  • Start Date : Immediate or within the next few weeks
  • Clients : Global enterprises, SaaS companies, and cloud-first data teams
  • Key Responsibilities

  • Design and build scalable, reliable data pipelines using modern data engineering tools and frameworks.
  • Develop ETL / ELT workflows for structured, semi-structured, and unstructured data.
  • Implement data ingestion, transformation, storage, and processing solutions.
  • Work with cloud-native data services (AWS Glue, Redshift, EMR, Azure Data Factory, Synapse, GCP BigQuery, Dataflow).
  • Build batch and streaming data pipelines using Spark, Databricks, Kafka, or similar technologies.
  • Optimize performance, cost, and reliability of data systems for large-scale deployments.
  • Collaborate with analytics, BI, ML, and backend teams to deliver end-to-end data solutions.
  • Ensure data quality, integrity, governance, and security across data workflows.
  • Support CI / CD pipelines, version control, and automation related to data environments.
  • Minimum 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.
  • Ability to work independently in a remote, distributed setup.
  • Preferred Skills

  • Experience with Databricks or large-scale Spark clusters.
  • Knowledge of streaming technologies (Kafka / Kinesis / Pub / Sub / Flink).
  • Experience working with data lakes (S3, ADLS, GCS) and lakehouse architectures.
  • Exposure to orchestration tools such as Airflow, Dagster, Prefect, or AWS Step Functions.
  • Familiarity with containerization (Docker) and orchestration (Kubernetes).
  • Experience integrating with BI, ML, or analytics platforms.
  • Cloud certifications (AWS / Azure / GCP Data Engineer) are a plus.
  • Why Join This Opportunity

  • Large-scale, cloud-native data engineering projects.
  • Multiple openings with fast-track onboarding.
  • Fully remote with flexible working hours.
  • Long-term freelance roles with consistent project work.
  • Work with modern data stacks, lakehouse architectures, and global teams.
  • How to Apply

    Send your CV to careers@skillscapital.io

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    Data Engineer • Baddi, Republic Of India, IN

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