Data Engineer

About Billigence:

Billigence is a boutique data consultancy with a global reach and diverse clientele, transforming how organizations leverage data. We utilize cutting-edge technologies to design, tailor, and implement advanced Business Intelligence solutions with high added value across a wide range of applications—from process digitization to Cloud Data Warehousing, Visualization, Data Science, Engineering, and Data Governance. Headquartered in Sydney, Australia, with offices worldwide, we assist clients in navigating challenging business conditions, eliminating inefficiencies, and enabling scalable adoption of an analytics-driven culture

.
About the Rol

e:
We are seeking an experienced Senior Data Engineering Consultant to join Billigence India. This role will lead the regional offering, where you will design and implement scalable data solutions using cutting-edge technologies such as Databricks, Snowflake, GCP, AWS, or Azure. You will help clients unlock the full potential of their data and contribute to building strong data engineering capabilities within the team, including mentoring junior team members. Additionally, you will play a key role in interviewing candidates for similar roles to support the growth of our engineering te

am.
What You’ll

• Do:
  Design, build, and optimize robust data pipelines and ETL processes using Apache Kafka for real-time streaming
• data.Implement and manage data solutions using Databricks, Snowflake, Azure, and Apache K
• afka.Collaborate with cross-functional teams to deliver tailored data solutions for both real-time and batch proces
• sing.Ensure data quality, governance, and security best practices across all sys
• tems.Mentor junior team members and contribute to their technical develop
• ment.Actively participate in interviewing and evaluating candidates for roles within the

team.
What You’ll

• Need:
  Experience with real-time data streaming and message brokering (e.g., Apache
• Kafka).In-depth knowledge of Databricks, Snowflake, Azure Data Services, and cloud-native archite
• ctures.Proven experience in designing and implementing cloud-based data solutions for both real-time and batch data proc
• essing.Proficiency in SQL, Python, or other programming lan
• guages.Solid experience working with cloud data warehouses and data
• lakes.Strong communication and collaboration skills to work effectively with technical and non-technical stakeh
• olders.Experience mentoring junior team members and supporting their technical
• growth.Active involvement in interviewing and evaluating new team members, ensuring the continuous strength of th

e team.
B

• enefits:
  Hybrid/remote working environment, allowing you a flexible work-life balance to thrive both in the office and from the comfort of y
• our home.Competitive compensations package + performan
• ce bonus.Fitness allowance to support your physical we
• ll-being.Referral bonu
• s scheme.Coaching, mentoring, and buddy scheme (for faster integration during the probationar
• y period)Certification opportunities throughout your time
• with us.Career growth support, internal moves, and career advancement oppor
• tunities.Team building and networkin