As a Sr. Data Engineer, you’ll design, build, optimize and operate systems on cloud to collect, store, process, package and visualize data to extract insights and make it useable for advanced analytics and machine learning. You’ll design data pipelines for batch and streaming data, use big data tools and techniques for processing large amounts of data, and create purpose-built solutions for working with structured, semi-structured, and unstructured data to support analytics and machine learning workloads.
Identify data sources, data formats, and design for data ingestion using batch and real-time techniques
Design and build secure, scalable data repositories to store the data, optimizing for cost, compression, scalability, and integration with data processing tools
Architect pipelines for data processing and transformation using ETL/ELT, SQL, Apache Spark, and other tools to handle high volume and high-velocity data
Design server-less systems for ad-hoc data analysis




Use visualization tools on processed data to create meaningful charts, and dashboards based on user-defined metrics

Requirements
Python programming.
Concepts of big data.
Hadoop SQL and relational databases.
Data warehousing concepts
Experience Minimum 2 years of experience with AWS in development or operations role
AWS Solutions Architect Associate certification is mandatory AWS Data Analytics Specialty certification is preferred

Advantages

We do not unfairly discriminate on any ground, including race, caste, religion, color, ancestry, marital status, gender, sexual orientation, age, nationality, ethnic origin, disability or any other category protected by applicable law.

Market-market-competitive salary

Better Growth

Work Life Balance

📌 Sr Data Engineer Delhi
🏢 Minfy Technologies
📍 Delhi