Sr. Data Infrastructure Engineer

Hivel Analytics, Inc.; Hyderabad; On-site; INR 1,200,000 - 2,000,000; Full time

Benefits offered by this job

Direct interaction with founders and CxOs

Opportunities for significant impact

Ownership and clarity in work

Job summary

A software analytics company in Hyderabad is seeking a Backend or Data Engineer to manage data ingestion from various tools and optimize data pipelines. The ideal candidate has 6–10 years of experience in data-heavy products, with strong skills in Java and AWS. This full-time, in-office role offers the opportunity to work on impactful projects and shape engineering productivity metrics worldwide.

Qualifications

• 6–10 years of experience as a Backend or Data Engineer in data-heavy or analytics-driven products.
• Deep hands-on expertise with Java and AWS (S3, ECS, RDS, Lambda, CloudWatch).
• Proven experience fetching and transforming data from GitHub, Jira, Jenkins, Bitbucket, or similar APIs.

Responsibilities

• Build and scale multi-source data ingestion from Git, Jira, and developer tools.
• Refactor and optimize Java-based ETL pipelines for modularity and scale.
• Design and implement parallel, event-driven processing using Kafka/SQS.

Skills

Backend or Data Engineer

Java

AWS

Data modeling

Postgres performance tuning

Tools

GitHub

Jira

Kafka

Airflow

ClickHouse

Job description

### **Why Hivel**Hivel is an **AI-native engineering intelligence platform** helping teams measure and improve software delivery speed, quality, and impact.We integrate deeply with **GitHub, Jira, Jenkins, GitLab, Copilot, and Cursor**, turning engineering activity into **real-time insights** that show leaders *why* delivery slows down and *how* to move faster.Engineering output has exploded in the AI era - but true visibility hasn’t. Hivel helps teams see beneath the surface and understand what’s really happening in their engineering systems.### **Why This Role**Every company tracks *what* developers do - commits, PRs, and tickets. We’re building the **brain that understands why things move (or don’t)**.This role sits at the heart of that brain. You’ll wire up data flows from Git, Jira, and CI/CD systems to create a **living graph of engineering activity** - powering insights that CTOs and VPs of Engineering rely on to make better decisions, faster.### **What You’ll Do*** Build and scale **multi-source data ingestion** from Git, Jira, and other developer tools via APIs, webhooks, and incremental syncs.* Refactor and optimize **Java-based ETL pipelines** for modularity, reusability, and scale.* Design and implement **parallel, event-driven processing** using Kafka/SQS (batch + streaming).* Own **Postgres optimization** - schema design, partitioning, indexing, query tuning - across 100GB+ datasets.* Build and maintain **data orchestration, lineage, and observability** (Airflow, Temporal, OpenTelemetry, etc.).* Work with backend, product, and AI teams to make data consumable for **insights and ML workflows**.* Maintain **cost-efficient, scalable infrastructure** across AWS (S3, ECS, Lambda, RDS, CloudWatch).* Build pipelines that are **self-healing, monitored, and production-grade** - the kind that let you sleep through the night.### **What We’re Looking For*** 6–10 years of experience as a **Backend or Data Engineer** in data-heavy or analytics-driven products.* Deep hands-on expertise with **Java** and **AWS** (S3, ECS, RDS, Lambda, CloudWatch).* Proven experience fetching and transforming data from **GitHub, Jira, Jenkins, Bitbucket**, or similar APIs.* Strong fundamentals in **data modeling**, incremental updates, and schema evolution.* Expertise in **Postgres performance tuning** (indexing, partitioning, query optimization).* Experience building and scaling **data pipelines** handling 100M+ records in multi-tenant environments.### **Brownie Points*** Exposure to **dbt, ClickHouse, Kafka, or Temporal**.* Experience with **developer analytics or productivity tools**.* Understanding of **data observability and cost optimization** in modern data stacks.* Familiarity with **AI workflows or ML data pipelines**.### **What You’ll Get*** Build the **data foundation for AI-driven engineering insights** used by teams around the world.* Work directly with **founders, CxOs, and senior architects** on technically deep, high-impact problems.* See your work **come alive in dashboards** viewed by CTOs and CEOs.* Shape how **thousands of engineers measure productivity** in the age of AI.* Be part of a **fast-moving, no-ego, design-driven org** that values ownership, clarity, and craft.* Build for **global markets** from India* A culture that values ownership, speed, and growth **Let’s build the nervous system of modern engineering together.** ** Hyderabad | Full-time | In-office**Experience: 5 to 10 years