Data Engineering Consultant

Billigence

. Lead the regional data engineering offering for Billigence India.

Posted 10/6/2026full-timeBengaluru • IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and implementing cloud-based data solutions using Databricks, Snowflake, and Azure, while ensuring data quality and governance. Proven ability to lead teams, mentor junior members, and collaborate effectively with diverse stakeholders.

Highest-signal resume keywords

DatabricksSnowflakeAzure Data ServicesApache KafkaSQL

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DesignETL ProcessesCloud-Based Data SolutionsReal-Time Data ProcessingBatch Data ProcessingData Quality AssuranceData GovernanceData Lake ManagementProgramming in PythonSQL Proficiency

Soft Skills

Strong CommunicationCollaboration SkillsMentoringTeam BuildingStakeholder Engagement

Tools & Technologies

Apache KafkaDatabricksSnowflakeAzure

Industry Keywords

Data EngineeringCloud-Native ArchitecturesData WarehousingData LakesData Solutions

Tech Stack

Tools & technologies

ApacheAzureCloudETLKafkaPythonSQL

About the role

Key responsibilities & impact

Lead the regional data engineering offering for Billigence India.
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 Kafka.
Collaborate with cross-functional teams to deliver tailored data solutions for both real-time and batch processing.
Ensure data quality, governance, and security best practices across all systems.
Mentor junior team members and contribute to their technical development.
Participate in interviewing and evaluating candidates for roles within the team.
Help clients unlock the full potential of their data and contribute to building strong data engineering capabilities.

Requirements

What you’ll need

In-depth knowledge of Databricks, Snowflake, Azure Data Services, and cloud-native architectures.
Proven experience in designing and implementing cloud-based data solutions for both real-time and batch data processing.
Proficiency in SQL, Python, or other programming languages.
Solid experience working with cloud data warehouses and data lakes.
Strong communication and collaboration skills to work effectively with technical and non-technical stakeholders.
Experience mentoring junior team members and supporting their technical growth.
Active involvement in interviewing and evaluating new team members, ensuring the continuous strength of the team.

Benefits

Comp & perks

Hybrid/remote working environment, allowing you a flexible work-life balance to thrive both in the office and from the comfort of your home.
Competitive compensations package + performance bonus.
Referral bonus scheme.
Coaching, mentoring, and buddy scheme (for faster integration during the probationary period)
Certification opportunities throughout your time with us.
Career growth support, internal moves, and career advancement opportunities.
Team building and networking events.