Data Engineer

2 weeks ago

India Leading MNC Full time

Looking for a Freelance Data Engineer to join a team of rockstar developers. of experience. 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. 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. Implement and maintain modern table formats such as Hudi, Iceberg, and Parquet for scalable and efficient data lakes. 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. Ensure high standards of data quality, reliability, and system performance. 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) . Graduate from a top-tier college/university . Experience working with top-tier organizations (e.g., Google, PayU, Accenture, Capgemini, Jumia, Ernst & Young) is preferred. 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 . No managerial experience required — this is a hands-on IC role . 100% remote from our side -Min 4yrs of experience -Please apply only if you have a 100% remote job currently -

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