Data Platform Engineer

We are looking for a Data Engineer/Data Platform Engineer with 3-8 years of experience to design, build, and operate scalable data platforms and pipelines. The ideal candidate will have strong expertise in SQL, Python/Java/Go, data processing frameworks, workflow orchestration, cloud platforms, and batch/streaming systems. You will work closely with engineering, product, and analytics teams to build reliable data infrastructure, optimize data workflows, and enable high-quality data for analytics and product use cases.
Responsibilities:
Build and maintain scalable ETL/ELT data pipelines for structured and unstructured data.
Design and optimize batch and real-time streaming pipelines using Spark, Kafka, Flink, etc.
Develop and maintain data models for analytics and product use cases.
Write clean, scalable, production-grade code using Python, Java, Go, or Ruby.
Build internal data services, integrations, automation, and developer tools.
Ensure data quality, integrity, availability, reliability, and performance.
Implement monitoring, logging, alerting, and automated testing for data pipelines.
Troubleshoot pipeline failures and optimize performance, scalability, and cost.
Collaborate with the Product, Analytics, and Engineering teams on data requirements.
Participate in system design and architecture discussions.
Follow best practices around data governance, security, and compliance.
Requirements:
5.5-8.5 years of experience in data platform or data engineering roles.
Strong proficiency in SQL and experience with relational and NoSQL databases.
Hands-on experience with Airflow, DBT, Spark, or Flink.
Experience with streaming or batch data processing systems.
Proficiency in at least one programming language (Python, Go, or Java).
Familiarity with cloud platforms (AWS, GCP, or Azure).
Nice to Have:
Experience with real-time streaming (Kafka, Kinesis, Pub/Sub).
Exposure to data warehouses (Snowflake, BigQuery, Redshift).
Experience operating data platforms in high-scale or fintech domains.
Understanding of data security, privacy, and compliance.

Skills
ETL, Data Engineering, Data Streaming, Data Analysis, Data Warehousing, Golang, NoSQL, Ruby, Python, Java, dbt, Airflow, Flink, Kafka, Spark, SQL, BigQuery, Snowflake, Amazon Redshift

Experience
5-9 yrs