Responsibilities:
- Work closely with Architectures/Technology, Platform Leader and Clients on designing standard Operational solution for various cloud/non-cloud technologies on ways of managing data
- Continuously discover, evaluate, and implement new technologies and frameworks to maximize efficiency
- Handle large data sets with exposure to multiple formats and Tlog/non-Tlog data.
- Ability to extract, transform, load, and clean large data sets from multiple sources.
- Familiarity with managing, querying, and aggregating large data sets.
- Execute tasks on Ingestion platform
- Utilize SQL and Python for data processing
- Process data in the Ingestion engine
- Manage small to medium transformation projects independently

Qualifications
- Minimum 6 years of experience in Big data related technologies
- Expertise in Databricks and Python is a must
- Strong foundational knowledge in Data Structures and Algorithms
- Proven track record in solution design and profiling + performance optimization




- Good experience working with large data sets with hands-on technology skills using industry standard frameworks
- Open and quick to learn new technologies and tools
- Experience working on cloud native technologies (Snowflake, Azure, AWS etc..) and platforms would be needed
- Excellent problem solving, hands-on engineering skills and communication skills
- Engineering degree in Computer Science, Information Technology or related field

Additional Information
- Our Benefits
- Flexible working environment
- Volunteer time off
- LinkedIn Learning
- Employee-Assistance-Program (EAP)

About NIQ

NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing current pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through st

📌 Sr. Expert (Vadodara)
🏢 Nielseniq
📍 Vadodara