2 months ago
Bengaluru, IndiaStaff+
Responsibilities
- Lead the design, development, and maintenance of data engineering infrastructure.
- Architect scalable batch and real-time data pipelines and end-to-end data solutions.
- Migrate on-premises applications, multi-terabyte databases, and data warehouses to cloud-based platforms.
- Design conceptual and logical data models, source-to-target mappings, transformations, flowcharts, and data lineage.
- Create data architecture, engineering, and migration patterns across relational, NoSQL, analytical, big data, and warehouse technologies.
- Establish coding standards, engineering best practices, technical documentation, and data governance practices.
- Mentor junior data engineers and provide technical guidance to data and analytics engineering teams.
- Collaborate with application architects, data scientists, analysts, and business stakeholders on data-intensive applications and requirements.
- Optimize data models, database designs, pipelines, and data warehouses for performance and reliability.
- Implement data quality controls, monitoring systems, security controls, compliance, and governance standards.
- Evaluate and recommend data technologies and tools and manage cloud-based data solutions.
- Translate business requirements into technical solutions and improve data quality and analytics processes.
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related technical field; a master's degree is preferred.
- 10+ years of experience in data engineering roles.
- 2+ years of experience in a technical leadership position.
- Hands-on technical involvement with real-time, batch, and NoSQL/SQL systems.
- Proficiency in data warehousing, data modeling, ETL design, and optimization.
- Deep understanding of data enrichment, transformation, security, movement, data architecture, golden records, and data integrity.
- Experience with big data technologies such as Hadoop, Spark, and Kafka.
- Experience with data orchestration tools such as Airflow and Luigi.
- Familiarity with AWS Database Migration Service and Server Migration Service.
- Experience leading data or analytics engineering teams.
- Experience with agile development practices and strong problem-solving and debugging skills.
- Strong communication skills for presenting insights to stakeholders.
- Product-based company experience is mandatory.
Tech Stack
Amazon DynamoDBAmazon RedshiftApache AirflowApache CassandraApache HadoopApache HiveApache KafkaApache SparkAWSAzureDatabricksDatadogdbtDockerGitGitHub ActionsGitLab CI/CDGoogle BigQueryGoogle Cloud PlatformGrafanaInfluxDBInformaticaJavaJenkinsKubernetesMicrosoft SQL ServerMongoDBMySQLPostgreSQLPythonScalaSnowflakeSQLTalendTerraform
Categories
Data Engineering
About Solera
Solera provides SaaS platforms, data, and services spanning the vehicle lifecycle—claims, repairs, dealer operations, telematics, and fleet management—for insurers, repairers, dealerships, and fleets. Its portfolio includes Audatex, DealerSocket, Omnitracs, LoJack, and Spireon, and it processes over 300 million transactions annually for about 235,000 customers in 90+ countries. Founded in 2005 and headquartered in Westlake, Texas, Solera is privately held under Vista Equity Partners.