Freelance Data Engineer

2 weeks ago

New Delhi, India Leading MNC Full time

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 RequirementsExperience- 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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