Senior Backend Engineer

Job Title : Perl Developer

Experience : 6+ Years

Engagement Type : C2C (Contract)

Location : Remote

Shift Timing : General Shift

Job Summary :

We are seeking an experienced Perl Developer with strong scripting and database expertise to support an application modernization initiative.

The role involves code conversion for compatibility between Sybase and MS SQL, ensuring performance, reliability, and maintainability of mission-critical systems.

You will work closely with the engineering team to enhance, migrate, and optimize codebases written primarily in Perl, with partial transitions toward Python for long-term sustainability.

Mandatory Skills :

Perl, Python, T-SQL, SQL Server, ADO, Git, Release Management, Monitoring Tools, Automation Tools, CI/CD, Sybase-to-MSSQL Code Conversion

Key Responsibilities :

• Analyze and convert existing application code from Sybase to MS SQL for compatibility and optimization.
• Maintain and enhance existing Perl scripts and applications.
• Where feasible, refactor or rewrite legacy components into Python for improved scalability.
• Collaborate with development and release teams to ensure seamless integration and deployment.
• Follow established Git/ADO version control and release management practices.
• (Optional) Contribute to monitoring, alerting, and automation improvements.

Required Skills :

• Strong Perl development experience (primary requirement).
• Proficiency in Python for code conversion and sustainability initiatives.
• Hands-on experience with T-SQL / SQL Server for database interaction and optimization.
• Familiarity with ADO/Git and standard release management workflows.

Nice to Have :

• Experience with monitoring and alerting tools.
• Familiarity with automation tools and CI/CD pipelines.

🚀 Hiring: Data Engineer ( Azure ) at Deqode

⭐ Experience: 5+ Years

📍 Location: Pune, Bhopal, Jaipur, Gurgaon, Delhi, Banglore,

⭐ Work Mode:- Hybrid

⏱️ Notice Period: Immediate Joiners

(Only immediate joiners & candidates serving notice period)

⭐ Hiring: Databricks Data Engineer – Lakeflow | Streaming | DBSQL | Data Intelligence

We are looking for a Databricks Data Engineer ( Azure ) to build reliable, scalable, and governed data pipelines powering analytics, operational reporting, and the Data Intelligence Layer.

🔹 Key Responsibilities

✅ Build optimized batch pipelines using Delta Lake (partitioning, OPTIMIZE, Z-ORDER, VACUUM)

✅ Implement incremental ingestion using Databricks Autoloader with schema evolution & checkpointing

✅ Develop Structured Streaming pipelines with watermarking, late data handling & restart safety

✅ Implement declarative pipelines using Lakeflow

✅ Design idempotent, replayable pipelines with safe backfills

✅ Optimize Spark workloads (AQE, skew handling, shuffle & join tuning)

✅ Build curated datasets for Databricks SQL (DBSQL), dashboards & downstream applications

✅ Package and deploy using Databricks Repos & Asset Bundles (CI/CD)

Ensure governance using Unity Catalog and embedded data quality checks

✅ Mandatory Skills (Must Have)

👉 Databricks & Delta Lake (Advanced Optimization & Performance Tuning)

👉 Structured Streaming & Autoloader Implementation

👉 Databricks SQL (DBSQL) & Data Modeling for Analytics

• 3 years experience working on Python, Django and DRF (must have projects)
• Back-end Development, Third Party SDK Implementation, CI/CD
• Pipeline with AWS, Containerization of Server, Caching, Micro-service Implementation
• Architecture design of the web applications.
• Implementation of a robust set of services and APIs to power the web application.
• Building reusable code and libraries for future use.
• Optimization of the application for maximum speed and scalability.
• Writing reusable, testable, and efficient code.
• Design and implementation of low-latency, high-availability, and performant applications.
• Integration of user-facing elements developed by front-end developers with server-side logic.
• Implementation of security and data protection.
• Translation of UI/UX wireframes to visual elements

Locus is a global decision- making platform in the supply chain that uses deep learning and proprietary algorithms to provide route optimization, real-time tracking, insights and analytics, beat optimization, efficient warehouse management, vehicle allocation and utilization, intuitive 3D packing and measurement of packages. Locus automates human decisions required to transport a package or a person, between any two points on earth, delivering gains along efficiency, consistency, and transparency in operations.

Locus, which has achieved a peak of 1 million orders processed in a day (200,000 orders an hour) and is trained & tested on over 100 million+ order deliveries, works in 75 cities across the globe. Locus works with several large-scale market leaders like Urban Ladder, Tata Group of Companies, Droplet, Licious, Rollick, Lenskart, other global FMCG, pharma, e-commerce, 3PL and logistics conglomerates.

Locus is backed by some of the biggest names in the market and recently raised $22 MN in Series B funding and also $4 Mn in a pre-Series B round. Earlier, In 2016, Locus raised $2.75 Mn (INR 18.3 Cr) in a Series A funding.

Locus was started by Nishith Rastogi and Geet Garg, two ex-Amazon engineers on a mission to democratize logistics intelligence for businesses across industries. Nishith was profiled by Forbes Asia in their ’30 Under 30’ 2018 list. Geet, on the other hand, holds a dual degree (BTech and MTech) in Computer Science and Engineering from the Indian Institute of Technology. Our team constitutes of engineers from Indian Institute of Technology and Birla Institute of Technology & Science- Pilani, and Data Scientists with PhDs from Carnegie Mellon University and Tata Institute of Fundamental Research. Our multifaced product and business team is led by senior members from Barclays, Google & Goldman Sachs with immense operational execution experience.

Job Description

• Design & implement backend APIs at Locus.sh
• Mentor junior developers technically.
• Actively work to reduce tech debt in the Locus backend
• Work towards more stability & scalability of the backend
• Tech stack - Java, AWS, Aurora etc.

Eligibility

• 4-8 years of product company experience
• OOP implementation experience. Programming language does not matter, We use Java internally but have hired folks from non Java background.
• Hands on experience in SQL, Dynamo DB, Postgres etc preferred.
• Prior experience building REST APIs
• Advanced understanding of AWS stack
• Prior knowledge of solving problems at scale.

Perks:

• Healthy catered meals at office
• You decide your own Work From Home (WFH) and Out Of Office (OOO)
• Pet-friendly - bring your pets to the office any day. Locus family already has a Rottweiler and a Beagle