Data platform Engineer

Overview

Job Title: Data Platform Engineer (Remote)

Experience Required: 5+ Years

Location: Remote

Job Description:

We are seeking an experienced Data Platform Engineer to design, build, and maintain scalable data infrastructure that supports analytics, machine learning, and business intelligence. You will work with cutting-edge technologies to ensure the reliability, scalability, and efficiency of our data platform.

Key Responsibilities:

• Develop & Maintain Data Infrastructure: Design, implement, and optimize data pipelines, data lakes, and data warehouses.
• Data Engineering & ETL Processes: Build and automate ETL workflows to extract, transform, and load data from various sources.
• Scalability & Performance Optimization: Ensure the platform can handle large-scale data processing efficiently.
• Cloud & Big Data Technologies: Work with cloud services (AWS, Azure, GCP) and big data tools (Spark, Hadoop, Kafka).
• Collaboration & Best Practices: Work closely with data scientists, analysts, and software engineers to deliver high-quality data solutions.
• Security & Compliance: Implement data governance, security, and privacy best practices.

Required Skills & Qualifications:

• Experience (5+ years): Proven experience in data engineering, data infrastructure, or platform engineering.
• Programming: Proficiency in Python, Scala, or Java.
• Big Data & Cloud: Hands-on experience with Spark, Kafka, Hadoop, AWS (Redshift, S3, Glue), Azure (Data Factory, Synapse), or GCP (BigQuery, Dataflow).
• Database Management: Experience with SQL & NoSQL databases (PostgreSQL, MySQL, MongoDB, Cassandra).
• CI/CD & Automation: Familiarity with DevOps tools (Docker, Kubernetes, Terraform) and CI/CD pipelines.
• Data Modeling & Warehousing: Strong understanding of data modeling concepts, schema design, and OLAP/OLTP systems.

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Job Type: Full-time

Pay: ₹50,000.00 - ₹100,000.00 per month

Schedule:

• Day shift

Experience:

• Data platform engineer: 6 years (Required)

Work Location: Remote