Advanced Data Analytics Engineer
Experience Level: Senior
Position Overview:
We are seeking a highly skilled and motivated Advanced Data Analytics Engineer to join our data team. In this role, you will be responsible for developing, implementing, and optimizing advanced data analytics solutions to drive business insights and decision-making. You will work closely with data scientists, data engineers, and business analysts to build and maintain data pipelines, machine learning models, and analytics tools that provide actionable insights from complex datasets. This is an excellent opportunity for an engineer passionate about working with large-scale data and advanced analytics to solve real-world business challenges.
Roles and Responsibilities:
- Design and develop scalable data pipelines for advanced analytics and reporting.
- Build and optimize data models for clustering, segmentation, and scoring tasks.
- Integrate data from multiple sources using Kafka, Airflow, and ETL tools.
- Support data governance and quality checks to ensure data integrity and accuracy.
- Collaborate closely with the Data Analytics Lead and AI/ML teams for the integration of data into advanced analytics and AI-driven products.
- Manage and optimize storage solutions using MinIO or S3, ensuring data is properly partitioned and indexed for performance.
Must Have Skills:
- 7+ years of experience in data engineering and analytics.
- Strong experience with cloud data solutions (AWS preferred), ETL processes, and Big Data tools.
- Hands-on experience with data storage systems such as S3, MinIO, and Snowflake.
- Familiarity with Kafka for real-time data streaming and Airflow for scheduling and orchestration.
- Proficiency in data pipelines (e.g., Airflow, Kafka, ETL frameworks).
- Strong experience in data storage systems like Snowflake, Hive, Iceberg, S3, and MinIO.
- Solid understanding of data modeling, segmentation, and clustering techniques.
- Advanced knowledge of SQL and relational/non-relational databases.
- Strong programming skills in Python or Java for data engineering.
Good to Have:
- Familiarity with AWS services such as S3, Redshift, Lambda, and EMR.
- Experience with DataOps, and using DevOps tools for automation in data pipelines.
Qualification:
- Bachelor of Science in Computer Science or equivalent technical training and professional work experience.
Location:
- Bangalore.
About Nomiso:
Nomiso is a product and services engineering company. We are a team of Software Engineers, Architects, Managers, and Cloud Experts with expertise in Technology and Delivery Management.
Our mission is to Empower and Enhance the lives of our customers, through efficient solutions for their complex business problems.
At Nomiso we encourage entrepreneurial spirit - to learn, grow and improve. A great workplace, thrives on ideas and opportunities. That is a part of our DNA. We’re in pursuit of colleagues who share similar passions, are nimble and thrive when challenged. We offer a positive, stimulating and fun environment – with opportunities to grow, a fast-paced approach to innovation, and a place where your views are valued and encouraged.
We invite you to push your boundaries and join us in fulfilling your career aspirations!
We are an equal opportunity employer and are committed to diversity, equity, and inclusion. We do not discriminate on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other protected characteristics.
Top Skills
What We Do
We are Nomiso a software co-engineering company and your partner in solving complex business problems with technology. We collaborate with our clients to understand business- and industry-specific challenges and engage with them to push the boundaries of what's possible to deliver impact at pace and scale.
At Nomiso, we are not just delivering innovative solutions; we are Co-engineering Excellence
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