Data Engineer

Responsibilities :

1. Advanced Architecture & System Design

A Tech Lead is primarily responsible for the overall platform vision and ensuring systems do not break under scale.

• Distributed Computing: Mastery of frameworks like Apache Spark or Ray for massive-scale parallel data processing.
• Streaming & Event-Driven Architecture: Deep understanding of real-time pipeline design using Kafka, Kinesis, or Flink.
• Cloud Infrastructure: Expertise in at least one major public cloud (AWS), specifically understanding storage/compute decoupling and cost optimization.

2. Core Programming & Database Management

Leads set coding standards and review code, requiring complete fluency in the fundamentals.

• SQL: Advanced mastery for metrics computation, window functions, and query performance tuning across relational and columnar databases (e.g., Snowflake, Redshift, BigQuery).
• Scripting Languages: High proficiency in Python or Scala for writing reusable pipeline code and interacting with APIs.
• Data Storage: Deep familiarity with both columnar/analytical stores and NoSQL databases (e.g., DynamoDb, Cassandra).

3. Pipeline Orchestration & DevOps

Ensuring pipelines run smoothly, idempotently, and securely in production.

• Workflow Orchestration: Ability to architect Directed Acyclic Graphs (DAGs) in tools like Apache Airflow or Prefect.
• CI/CD & Infrastructure as Code (IaC): Applying software engineering principles to data by using Docker, Kubernetes, and Terraform.
• Data Governance & Security: Implementing Role-Based Access Control (RBAC), data masking, and compliance frameworks.

4. Leadership & Soft Skills

Tech leads also mentor junior engineers, estimate project timelines, and translate ambiguous business needs into concrete technical specifications.

• Mentorship & Code Review: Fostering a collaborative development environment and enforcing style guidelines.
• System Observability: Building logging, monitoring, and alerting mechanisms so the team knows exactly when and why pipelines fail.

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.