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Freelance Data Engineer

Freelance Data Engineer

Leading MNCThiruvananthapuram, IN
30+ days ago
Job description

Looking for a Freelance Data Engineer to join a team of rockstar developers. The candidate should have a minimum of 8+ yrs. of experience.

There are multiple openings. If you're looking for freelance / part time opportunity (along with your day job) & a chance to work with the top 0.1% of developers in the industry, this one is for you! You will report into IIT'ans / BITS grads with 10+ years of development experience + work with F500 companies (our customers).

Company Background - We are a multinational software company that is growing at a fast pace. We have offices in Florida & New Delhi. Our clientele spreads across the US, Australia & APAC. To give you a sense of our growth rate, we've added 70+ employees in the last 6 weeks itself and expect another 125+ by the end of Q4 2025.

Key Responsibilities

  • Design, build, and maintain real-time data ingestion pipelines using Debezium, Kafka Connect, and Apache Kafka .
  • Develop and optimize Spark jobs on Kubernetes , including Spark Streaming and batch data workflows.
  • Build, schedule, and orchestrate workflows using Apache Airflow or similar orchestration tools.
  • Implement and maintain modern table formats such as Hudi, Iceberg, and Parquet for scalable and efficient data lakes.
  • Work with object storage systems such as S3 or GCP equivalents.
  • Build scalable data warehouse solutions using BigQuery , including materialized views , partitioning, clustering, and performance tuning.
  • Work with ETL / ELT pipelines , data modeling , and data warehousing best practices.
  • Develop and consume REST APIs to support data services and downstream applications.
  • Write scalable, well-structured Python code for data processing and automation.
  • Use dbt for data transformation and modeling workflows.
  • Manage deployments and code quality using Git , CI / CD pipelines , and IaC principles.
  • Collaborate with cross-functional teams across engineering, analytics, and product.
  • Ensure high standards of data quality, reliability, and system performance.

Mandatory / Essential Requirements

Experience

  • Total 8+ years of professional experience in Data Engineering or related roles.
  • Minimum 5+ years of hands-on experience with Google Cloud Platform (GCP) .
  • Education & Industry Background

  • Graduate from a top-tier college / university .
  • Experience working with top-tier organizations (e.g., Google, PayU, Accenture, Capgemini, Jumia, Ernst & Young) is preferred.
  • Technical Expertise

  • GCP Services : BigQuery, Cloud Run, Cloud Scheduler, Dataflow, Pub / Sub.
  • Strong understanding of ETL / ELT frameworks , Airflow , data modeling , and data warehousing .
  • Advanced Python programming skills.
  • Strong proficiency in SQL including analytical queries and materialized views.
  • Experience with dbt for data transformations.
  • Hands-on experience with Git or other version control systems.
  • Experience implementing CI / CD pipelines .
  • Understanding of Infrastructure-as-Code (IaC) principles.
  • Professional Traits

  • No managerial experience required — this is a hands-on IC role .
  • Excellent problem-solving skills with strong attention to detail.
  • Ability to work independently in a fast-paced and dynamic environment.
  • Proactive, ownership-driven mindset.
  • What we need

  • ~35 hours of work per week.
  • 100% remote from our side
  • You will be paid out every month.
  • Min 4yrs of experience
  • Please apply only if you have a 100% remote job currently
  • If you do well, this will continue for a long time
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