Technical Lead – Data Engineering

Superloop

Technical Lead - Data Engineering at Superloop developing data pipelines and maintaining data warehouse. Collaborating with cross-functional teams to understand data requirements and enhance data processes.

Posted 8/3/2026full-timeColombo • 🇱🇰 Sri LankaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and maintaining data pipelines, ETL processes, and data warehousing solutions while ensuring data accuracy, security, and compliance. Proficient in collaborating with cross-functional teams to meet analytical needs and optimize data engineering practices.

Highest-signal resume keywords

Data WarehousingETL ProcessesSQL ProficiencyPython ScriptingData Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentData ProfilingData CleansingData TransformationData Ingestion WorkflowsPerformance MonitoringData SecurityData Integration TechniquesData Orchestration ToolsComplex Data Models

Soft Skills

Problem-SolvingAttention to DetailCommunicationCollaboration

Tools & Technologies

DbtDatabricksApache SparkAWSLinuxContainerization

Industry Keywords

Data AccuracyData CompletenessData ReliabilityData EncryptionAccess ControlsAudit Trails

Tech Stack

Tools & technologies

ApacheAWSETLLinuxOpen SourcePythonSparkSQL

About the role

Key responsibilities & impact

Develop data pipelines and maintain the data warehouse.
Be a conduit between analysts and system developers, collaborate with cross-functional teams to understand data requirements and design efficient data warehouse solutions.
Build and maintain data pipelines, ETL processes, and data ingestion workflows to ensure data accuracy, completeness, and reliability.
Perform data profiling, cleansing, and transformation to prepare data for analytics and reporting.
Monitor and optimize the performance of the data warehouse, addressing any issues or bottlenecks as they arise.
Ensure data security, compliance, and governance standards are met, including data encryption, access controls, and audit trails.
Collaborate with Data Analysts to support their analytical needs by providing clean and well-structured data.
Stay up-to-date with industry best practices and emerging technologies to continuously improve data engineering processes.

Requirements

What you’ll need

Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent work experience).
5+ years of experience as a capable Data Engineer, with a strong focus on data warehousing and ETL processes.
Proficiency with dbt and data orchestration tools.
Proficiency in Databricks ( or open source Apache Spark) for data warehousing and data processing.
Proficiency in AWS, Linux, Containerization and latest database trends.
Strong SQL skills for data querying, manipulation, and optimization.
Proficiency in Python for scripting and automation of data processes.
Experience working with large volumes of data and complex data models.
Knowledge of data integration and orchestration techniques and tools.
Excellent problem-solving skills and attention to detail.
Strong communication and collaboration skills to work effectively with cross-functional teams.

Benefits

Comp & perks

Quarterly Superstar Awards - recognition for those who go above and beyond.
Milestone Gifts & Birthday Cake.
Referral Bonus - get rewarded for bringing great talent into the TechHub.
Fruits and Nuts Mondays and Wednesdays – a healthy start to your week.
Monthly Engagement Events - cricket matches, festive celebrations, and more.
Quarterly Team Outings – time to unwind and connect outside work.
SuperEats – enjoy affordable pre-ordered breakfast and lunch options.
Flexible Work – 3 days in the office, 2 days from home (once confirmed).
Career Excellence Program – build your future into telco and tech, right here at Superloop.
Employee Assistance Program – we’ve got your wellbeing covered.