Lead Software Engineer (Big Data)
HybridBengaluru, Karnataka, India or Pune, Maharashtra, India
Job Summary
Design and optimize ETL/ELT pipelines using PySpark, Python, and SQL while architecting data warehouse solutions on cloud platforms like AWS, Azure, or GCP. Collaborate with cross-functional teams to deliver high-quality data solutions, ensure data quality and governance, and drive performance tuning and cost optimization. Mentor junior engineers, participate in Agile ceremonies, and contribute to enhancing in-house data tools and frameworks. This role requires 4–7 years of experience in data engineering with a focus on cloud-based solutions and is located in Bangalore or Pune.
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, or related field
- 4–7 years of experience in data engineering, with a strong focus on cloud-based data solutions
- Proficiency in Python, PySpark, and SQL for data processing and transformation
- Hands-on experience with Cloud platforms (AWS, Azure, or GCP) and their data services
- Solid understanding of data warehousing concepts, dimensional modeling, and data architecture
- Experience with version control (Git), CI/CD pipelines, and Agile methodologies
- Ability to quickly learn and adapt to internal tools and technologies
- Experience with orchestration tools like Apache Airflow
- Knowledge of data visualization tools (e.g., Power BI, Tableau)
- Strong communication and leadership skills
- Stay Curious: Being hungry to learn and grow, always asking the big questions
- Seek Clarity: Embracing complexity to create clarity and inspire action
- Own the Outcome: Being accountable for decisions and taking ownership of our choices
- Center on the Client: Relentlessly adding value for our customers
- Be a Challenger: Never complacent, always striving for continuous improvement
- Champion Inclusivity: Fostering trust in relationships engaging with empathy, respect and integrity
- Commit to each other: Contributing to making Circana a great place to work for everyone
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