Bridgenext
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Pimpri-chinchwad · On-site · 5-8 Yrs · Oct 6
Information Technology Support Services · 1001 to 5000 Employees · Jacksonville, US
Bridgenext brings Emtec, Emtec Digital, Wave6, and DEFINITION 6 together into one unified company focused on empowering clients to achieve digital realization by moving past the hype of digital transformation to a future where they can achieve tangible outcomes from their tech investments. The Bridgenext team facilitates highly strategic digital initiatives through digital product engineering, automation, data engineering, and infrastructure modernization services while elevating brands through digital experience, creative content, and customer data analytics services. Don't just work, thrive. At Bridgenext, you have an opportunity to make a real difference - driving tangible business value for clients, while simultaneously propelling your own career growth. Our flexible and inclusive work culture provides you with the autonomy, resources, and opportunities to succeed.
Hiring: Engineering
What employees say
+ bridgenext is a good paying company
− no cons as such in this company
More reviews on the company profile.
Interview experience · Senior Software Engineer
Great Interview Experience & Excellent HR Team I had a very smooth and positive interview experience with the company. The entire process was well-structured, transparent, and timely. The interview panel was profess
Difficult difficulty · Pune · 73 reports
More interview insightsJob description
Overview
Our teams are made up of experts who believe in engineering impact, starting with putting people at the center of everything we do.
Responsibilities
- We are looking for DataOps engineer with a hands-on experience to automate our Databricks Jobs/Workflows, DLT, and SQL tasks , implement and operate Unity Catalog at scale.
- Automation & Orchestration (Jobs/Workflows & CI/CD)
- Design, build, and maintain Databricks Workflows/Jobs (multi‑task graphs, retries, triggers, alerts) for batch, and SQL workloads.
- Implement CI/CD pipelines (GitHub Actions/Azure DevOps/GitLab): plan/apply for IaC, validate job JSON, environment promotion, approvals, and rollback.
- Build templates, parameterized job definitions (ingestion/batch/streaming/SQL) with standardized logging, notifications, and governance.
- Enforce run‑as service principals, job versioning, change auditability, and artifact immutability.
- Automate provisioning via Terraform (Databricks provider), Databricks SDK (Python/Go), and REST API 2.1 for Jobs, DLT, Repos, SQL Warehouses, and Unity Catalog.
- Unity Catalog – Automation, Governance & Migration
- Catalog & Schema Provisioning (Automation‑first): Idempotent creation of catalogs, schemas, default locations, owners, grants, volumes, storage credentials, and external locations using Terraform/SDK/REST.
- Grant‑as‑Code: Standardize RBAC with templates (OWNERSHIP, USE CATALOG/SCHEMA, SELECT, MODIFY, CREATE, READ/WRITE FILES); integrate SCIM groups and service principals.
- Security & Audit: Dynamic views for row/column‑level security, data classification tags, audit logging, token policies, periodic permissions drift detection & remediation.
- Delta Sharing: Automate providers/recipients, share objects, and scheduled access reviews/expiry.
- Unity Catalog Migration (HMS → UC or multi‑workspace to UC): discovery, wave planning, external/managed table registration, permission model migration, dual‑run validation (row counts, schema parity, query replay), cutover & rollback.
- Reliability & Data Quality
- Define SLOs for pipeline success, latency, and data freshness; drive ≥99% T1 success and low MTTR.
- Implement data quality checks (DLT expectations, dbt‑expectations/GX), idempotency, schema evolution strategy, checkpointing & replay.
- Build incident response playbooks; lead RCAs and preventative actions.
Qualifications
- 5–8 years of experience in data engineering, platform engineering, or cloud infrastructure roles.
- Strong hands-on experience with Databricks administration (workspace management, cluster policies, access controls, cost optimization).
- Working knowledge of Databricks workflow development (job orchestration, scheduling, pipeline monitoring).
- Proficiency in Terraform for infrastructure as code and automated provisioning.
- Solid experience with AWS cloud services and architecture.
- Strong Python scripting skills for automation and tooling.
- Good understanding of CI/CD practices and version control (Git).
- Strong problem-solving skills and ability to work in a collaborative, fast-paced environment.
- Exposure to or experience implementing Agentic AI solutions.
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Job application FAQ
Last updated 12 October 2026
- How do I apply for Data Platform Engineer at Bridgenext?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Bridgenext may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Data Platform Engineer role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Data Platform Engineer remote or on-site in Pimpri-Chinchwad, Maharashtra?
- This listing is marked on_site with location Pimpri-Chinchwad, Maharashtra. Confirm details on the job description before applying.
- What skills matter for this Data Platform Engineer role at Bridgenext?
- This is a mid-level Data Platform Engineer role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.