- Location
- Bengaluru - BCIT, India · Pune - Hinjewadi (Ascendas)
- Type
- Full-time
- Department
- Engineering
- Seniority
- Senior
- Experience
- 9+ years
- Closing date
- Today
- Source
- Workday
Description
Experience
- 9+ years of experience in Data Engineering, Analytics, or Data Warehousing.
Core Technical Skills
- Spark, Scala, Big Data platforms
- AWS cloud data engineering
- ETL pipeline development
- Oracle SQL / PL-SQL
- Teradata, Hadoop, Hive
- Python (preferred)
- GenAI frameworks such as Lang Chain, Llama, Hugging Face etc.
Key Responsibilities
- Design and deliver end-to-end data solutions aligned to business objectives.
- Build scalable ETL pipelines and data architectures.
- Lead or contribute to technical design and implementation.
- Collaborate with business, operations, and engineering teams.
- Influence stakeholders to deliver secure, scalable, and highly available solutions.
- Participate in Agile delivery from ideation to production.
- Drive engineering best practices and continuous improvement.
- Ensure solutions align with enterprise risk and governance standards.
SYNECHRON’S DIVERSITY & INCLUSION STATEMENT
Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.
All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.
