Role Description:
Experience- 8 Year +
Location- Indore/Bangalore/Hyderabad.
Technical Requirements:
Skills needed: Python, Spark, AWS with EMR Iceberg, GIT, Airflow, DBT, Snowflake, Trino, Linux/Unix,
Project Scope: Understand the code base built in AWS services and SQL and convert the same to tech stack primarily in airflow, Iceberg, Python/SQL
Qualifications:
- Designing and building data models to support business requirements
- Developing and maintaining data ingestion and processing systems
- Implementing data storage solutions (databases and data lakes)
- Ensuring data consistency and accuracy through data validation and cleansing techniques
- Working together with cross-functional teams to identify and address data-related issues
- Proficiency in programming language - Python experience with big data spark & Orchestration experience: Airflow.
- AWS experience is required.
- Knowledge of database management systems, (e.g., MySQL)
- Strong problem-solving and analytical skills
- Excellent communication and collaboration abilities
NucleusTeq culture-Our positive and supportive culture encourages our associates to do their best work every day. We celebrate individuals by recognizing their uniqueness and offering them the flexibility to make daily choices that can help them to be healthy, centered, confident, and aware. We offer well-being programs and are continuously looking for new ways to maintain a culture where our people excel and lead healthy, happy lives
Top Skills
What We Do
We Empower & Transform customers’ business through the use of digital technologies.
Our core focus areas are Big-Data, Cloud, Analytics (AI, ML), Blockchain, Automation & Mobility.
We enable navigation of digital transformation for several fortune 1000 clients in USA, Canada, UK & India.
NucleusTeq is a software services, solutions & products company empowering & transforming customers’ business through the use of digital technologies such as Big-Data, Analytics (AI, ML), Cloud, Enterprise Automation, Block-chain, Mobility, CRM & ERP.