Who We Are

The Role We’re looking for a hardworking, success-oriented team player who knows the ins and outs of data and can work in a fast-paced environment. If you’re constantly researching new and exciting uses of technology, we want to talk to you.

What You’ll Do

- Drive innovations by keeping current on emerging cloud technologies
- Architect end-to-end data solutions, including data collection and storage, data modelling, and data consumption.
- Provide guidance in migration and transfer of multi-terabyte databases or data warehouses from one data-tier technology to another, based on enterprise strategy.
- Data Modelling: Expertise in data modelling techniques and tools, such as ER modelling, dimensional modelling, and UML (Unified Modelling Language). Design conceptual and logical data models and flowcharts, including source-to-target mappings, transforms, and data lineage.
- Design solutions to prepare and transform data into a usable state for multi-platform consumption.
- Create data architecture, engineering and migration patterns for MSSQL, MYSQL, Oracle, IBM DB2 assisting data tier migrations with multiple technologies including No SQL/SQL, Relational, Analytical, Big Data, Data Stores, Data Warehousing, supporting Solera Technology Standards and Strategies (TSS) and Cloud Technology Mapping for software versions, licensing, cost savings and implementation in AWS

Key Responsibilities

- Lead the design, development, and maintenance of our data engineering infrastructure
- Architect and implement scalable data pipelines for batch and real-time processing
- Establish best practices, coding standards, and technical documentation




- Mentor and provide technical guidance to junior data engineers
- Collaborate with data scientists, analysts, and business stakeholders to understand data requirements
- Optimize data models and database designs for performance and reliability
- Implement data quality controls and monitoring systems
- Evaluate and recommend new data technologies and tools
- Deploy and manage cloud-based data solutions (AWS/Azure/GCP)
- Ensure data security, compliance, and governance standards are met

What You’ll Bring

- Bachelor's degree in Computer Science, Engineering, or related technical field (Master's preferred)

- 10+ years of experience in data engineering roles

- 2+ years of experience in a technical leadership position

- Utilizing Real-Time, Batch, and NoSQL/SQL.

- Proficiency in data warehousing, data modelling, ETL design, and optimization

- Deep understanding of data enrichment, transformation, security, movement, data architecture, golden record, and data integrity.

- Experience with big data technologies (e.g., Hadoop, Spark, Kafka)

- Experience with data orchestration tools (Airflow, Luigi, etc.).

- Familiarity with AWS migration services like Database Migration Service (DMS) and Server Migration Service (SMS). - Technical Skills

- Programming Languages: Python, SQL, Java, Scala

- Big Data Technologies: Apache Spark,



Hadoop, Kafka, Hive

- Any Cloud Platforms:

- AWS (S3, EC2, RDS, Lambda, DynamoDB, Glue)

- Azure (Data Factory, Synapse, Databricks)

- GCP (Big Query, Dataflow, Dataproc)

- Data Warehousing: Snowflake, Redshift, Big Query, Fabric Data Warehouse

- ETL/ELT Tools: Airflow, dbt, Informatica, Talend, Glue

- Databases:

- Relational: PostgreSQL, MySQL, SQL Server, Oracle

- NoSQL: MongoDB, Cassandra, DynamoDB

- Time-series: Influx DB, Timescale DB

- Container & Orchestration: Docker, Kubernetes

- Infrastructure as Code: Terraform, CloudFormation

- Version Control: Git, GitLab/GitHub workflows

- CI/CD: Jenkins, GitHub Actions, GitLab CI

- Monitoring & Observability: Datadog, Grafana

- Data Architecture Skills

- Data modeling (dimensional, relational, NoSQL)

- Database design and optimization

- Batch and real-time pipeline architecture

- Data mesh/data fabric architectures

- Data lake and Lakehouse implementation

- API design and development

- Microservices architecture

Leadership Skills

- Experience leading data/analytics engineering teams
- Ability to translate business requirements into technical solutions
- Robust communication skills to present insights to stakeholders
- Track record of improving data quality and analytics processes

Required Qualifications

- Bachelor's degree in Computer Science, Engineering, or related technical field (Master's preferred)
- Hands-on technical involvement
- Experience with agile development practices
- Strong problem-solving and debugging skills
- **Product Based Company Experience Mandatory

📌 Lead Software Engineer (Bengaluru)
🏢 Solera
📍 Bengaluru