Sr.Data Engineer
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Summary
Design, build, and operate cloud data systems and pipelines for batch and streaming data, using Python, AWS, big data tools like Hadoop and Spark, and data warehousing concepts to support analytics and ML workloads.
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
Benefits
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.
Competitive Salary
Better Growth
Work Life Balance