Jobs at Djinni

Project description

The project is for one of the world's famous science and technology companies in pharmaceutical industry, supporting initiatives in AWS, AI and data engineering, with plans to launch over 20 additional initiatives in the future. Modernizing the data infrastructure through the transition to Snowflake as a priority, as it will enhance capabilities for implementing advanced AI solutions and unlock numerous opportunities for innovation and growth.

We are seeking a highly skilled Snowflake Data Engineer to design, build, and optimize scalable data pipelines and cloud-based solutions across AWS, Azure, and GCP. The ideal candidate will have strong expertise in Snowflake, ETL Tools like DBT, Python, visualization tools like Tableau and modern CI/CD practices, with a deep understanding of data governance, security, and role-based access control (RBAC). Knowledge of data modeling methodologies (OLTP, OLAP, Data Vault 2.0), data quality frameworks, Stream lit application development and SAP integration and infrastructure-as-code with Terraform is essential. Experience working with different file formats such as JSON, Parquet, CSV, and XML is highly valued.

Responsibilities

In-depth knowledge of Snowflake's data warehousing capabilities.

Understanding of Snowflake's virtual warehouse architecture and how to optimize performance

and cost.

Proficiency in using Snowflake's data sharing and integration features for seamless collaboration.

Develop and optimize complex SQL scripts, stored procedures, and data transformations.

Work closely with data analysts, architects, and business teams to understand requirements and

deliver reliable data solutions.

Implement and maintain data models, dimensional modeling for data warehousing, data marts,

and star/snowflake schemas to support reporting and analytics.

Integrate data from various sources including APIs, flat files, relational databases, and cloud

services.

Ensure data quality, data governance, and compliance standards are met.

Monitor and troubleshoot performance issues, errors, and pipeline failures in Snowflake and

associated tools.

Participate in code reviews, testing, and deployment of data solutions in development and production environments.

Skills

Must have

5+ years of experience

Strong proficiency in Snowflake (Snowpipe, RBAC, performance tuning).

Ability to write complex SQL queries, stored procedures, and user-defined functions.

Skills in optimizing SQL queries for performance and efficiency.

Experience with ETL/ELT tools and techniques, including Snowpipe, AWS Glue, openflow, fivetran

r similar tools for real-time and periodic data processing.

Proficiency in transforming data within Snowflake using SQL, with Python being a plus.

Strong understanding of data security, compliance and governance.

Experience with DBT for database object modeling and provisioning.

Experience in version control tools, particularly Azure DevOps.

Good documentation and coaching practice.

Nice to have

experience with AWS Lambda, particularly in utilising Python to develop data extraction functionalities.

ability to retrieve data from platforms like SharePoint or Salesforce and transfer it to an S3 bucket

The project is for one of the world's famous science and technology companies in pharmaceutical industry, supporting initiatives in AWS, AI and data engineering, with plans to launch over 20 additional initiatives in the future. Modernizing the data infrastructure through the transition to Snowflake as a priority, as it will enhance capabilities for implementing advanced AI solutions and unlock numerous opportunities for innovation and growth.

We are seeking a highly skilled Snowflake Data Engineer to design, build, and optimize scalable data pipelines and cloud-based solutions across AWS, Azure, and GCP. The ideal candidate will have strong expertise in Snowflake, ETL Tools like DBT, Python, visualization tools like Tableau and modern CI/CD practices, with a deep understanding of data governance, security, and role-based access control (RBAC). Knowledge of data modeling methodologies (OLTP, OLAP, Data Vault 2.0), data quality frameworks, Stream lit application development and SAP integration and infrastructure-as-code with Terraform is essential. Experience working with different file formats such as JSON, Parquet, CSV, and XML is highly valued.

• Responsibilities:

  • In-depth knowledge of Snowflake's data warehousing capabilities.
  • Understanding of Snowflake's virtual warehouse architecture and how to optimize performance
  and cost.
  • Proficiency in using Snowflake's data sharing and integration features for seamless collaboration.
  • Develop and optimize complex SQL scripts, stored procedures, and data transformations.
  • Work closely with data analysts, architects, and business teams to understand requirements and
  deliver reliable data solutions.
  • Implement and maintain data models, dimensional modeling for data warehousing, data marts,
  and star/snowflake schemas to support reporting and analytics.
  • Integrate data from various sources including APIs, flat files, relational databases, and cloud
  services.
  • Ensure data quality, data governance, and compliance standards are met.
  • Monitor and troubleshoot performance issues, errors, and pipeline failures in Snowflake and
  associated tools.
  • Participate in code reviews, testing, and deployment of data solutions in development and production environments.

• Mandatory Skills Description:

  • 5+ years of experience
  • Strong proficiency in Snowflake (Snowpipe, RBAC, performance tuning).
  • Ability to write complex SQL queries, stored procedures, and user-defined functions.
  • Skills in optimizing SQL queries for performance and efficiency.
  • Experience with ETL/ELT tools and techniques, including Snowpipe, AWS Glue, openflow, fivetran
  or similar tools for real-time and periodic data processing.
  • Proficiency in transforming data within Snowflake using SQL, with Python being a plus.
  • Strong understanding of data security, compliance and governance.
  • Experience with DBT for database object modeling and provisioning.
  • Experience in version control tools, particularly Azure DevOps.
  • Good documentation and coaching practice.

We are looking for a Database / Integration Developer to support data exchange between engineering web applications. The role will focus on designing, implementing, and maintaining reliable integrations, ensuring smooth data flow between systems and consistency of shared data.

The candidate should have strong database experience, good understanding of integration patterns, and the ability to work with both backend and web application teams.

• Responsibilities:

  Design and implement data exchange between web applications and related systems.
  Work with databases, APIs, and integration services to support reliable data flow.
  Analyze existing data structures, mappings, and integration points.
  Troubleshoot integration issues, data inconsistencies, and performance-related problems.
  Collaborate with frontend, backend, QA, and product teams to clarify integration requirements.
  Support testing and validation of data flows between applications.
  Document integration logic, data mappings, and technical decisions.

• Mandatory Skills Description:

  5+ years of commercial software development experience.
  Strong experience with database development and data integration between applications.
  Experience designing and implementing data exchange between web applications.
  Good understanding of APIs, data services, and integration patterns.
  Experience with SQL and working with structured data.
  Ability to analyze data flows, troubleshoot integration issues, and ensure data consistency.
  Good communication skills and ability to work with distributed engineering teams.

• Nice-to-Have Skills Description:

  Experience with OData, gRPC, WebSocket, or similar integration technologies.
  Experience with Node.js or JavaScript/TypeScript-based applications.
  Familiarity with modern web application architecture.
  Experience with engineering, industrial, or oil & gas software.
  Basic understanding of Angular-based applications would be a plus.

We are an established iGaming company with 4+ years of experience and a team of 1600+ specialists, managing 10+ large-scale projects across Tier 1–3 markets.

As part of our strategic growth, we are partnering with a professional SEO company operating in highly competitive iGaming and casino niches. Their team builds and scales SEO strategies where results and a systematic approach truly matter.

We are supporting them in the search for a strong Senior SEO who will scale the direction, build high-performing teams, and drive sustainable project growth.

Requirements

• Expert-level expertise in working with expired/drop domains: full command of all types of drop-domain strategies, ability to select the optimal setup for a specific domain and objective, and accurately forecast outcomes.
• Development of proprietary domain screening and evaluation systems: formalized criteria, weighted scoring models, automated or semi-automated validation workflows.
• Deep expertise in backlink profile analysis: ability to identify complex manipulations (multi-layered schemes, artificial growth patterns, “washed” domains), and assess the long-term sustainability of domain authority.
• Proven experience in building and scaling PBN networks (full-cycle management).
• Strategic thinking: ability to build long-term strategies tailored to specific markets, account for regulatory risks, and adapt quickly to algorithm updates.
• Expert-level semantic analysis: deep understanding of SERP dynamics across keyword clusters, ability to identify undervalued clusters with low competition and high growth potential.
• Technical SEO expertise at the architectural level: designing drop-site structures, managing crawl budget across large-scale networks, working with log files, and rendering optimization.
• Infrastructure management: design and administration of server infrastructure for drop networks (VPS, dedicated servers, IP rotation, CDN, Cloudflare), large-scale DNS management.
• Hands-on experience with process automation: Python (parsing, domain data processing, monitoring), integration of Ahrefs / Majestic / GSC APIs into proprietary dashboards.
• Strong understanding of gray-hat markets at an expert level, including SERP behavior, scheme sustainability, and regulatory risks.
• Experience managing SEO teams: KPI setup, onboarding, and performance evaluation.
• Analytical and ROI-driven mindset: evaluating profitability of each domain and building P&L models.
• Leadership skills: ability to assign tasks, make final strategic decisions, and take ownership of the overall direction and results.
  
  Nice to Have
• Participation in the development of internal tools or scalable processes: SOPs, screening checklists, domain evaluation frameworks that can be rolled out across the team.
• Experience working with domain brokers and handling direct off-auction deals.
  
  Key Responsibilities
• Develop and oversee the overall strategy: define target markets, domain types, priority usage models, and department KPIs.
• Design and scale the entire drop-domain operation: from search criteria to performance monitoring, including process standardization, automation, and knowledge transfer to Middle and Junior specialists.
• Make final decisions on domain acquisitions: evaluate lots, participate in auctions for key domains, and negotiate with brokers.
• Develop and continuously improve domain screening and scoring systems, adapting criteria to algorithm updates and market conditions.
• Make architectural infrastructure decisions: design server structures, manage hosting networks, and minimize network-level footprints.
• Develop and test new drop-domain usage strategies; document results and scale successful approaches.
• Conduct strategic analytics: forecast the performance and ROI of new investments.
• Collaborate with Team Leads and management: provide regular reporting, participate in strategic sessions, and justify investment decisions.
• Lead and manage the team: delegate tasks, ensure quality control, mentor Middle and Junior specialists, and onboard new hires.
• Monitor Google algorithm updates, industry trends, and competitor activity, adapting the strategy in real time.

About SYNTECH Digital

We are an official Creatio partner and product company. SYNTECH builds and maintains 17+ Marketplace apps (Kanban, Gantt, Calendar, Pivot, Map, HRM, Manufacturing, and more) and delivers complex CRM/ERP implementations for clients across logistics, manufacturing, finance, and HR industries.

Responsibilities
    •    Develop and customize solutions on the Creatio platform: C# schemas, business processes, event listeners, scheduled jobs, and server-side scripts
    •    Build WCF / Web API services and integrations with external systems (Google APIs, payment gateways, ERP platforms)
    •    Contribute to SYNTECH’s proprietary Marketplace component suite (Angular Freedom UI components, back-end services)
    •    Write efficient SQL queries for PostgreSQL and MS SQL; optimize performance on large datasets
    •    Participate in technical pre-sales: architecture design, effort estimation, client communication
    •    Conduct code reviews, maintain technical documentation, support live projects
    •    Collaborate with the team via Git and CI/CD workflows

Requirements
    •    2+ years of commercial experience with C# / .NET (ASP.NET, Web API, WCF)
    •    Hands-on knowledge of the Creatio platform: EntitySchemaQuery, schemas, packages, Process Designer, Freedom UI
    •    Confident JavaScript / TypeScript (Angular or Backbone.js / Ext JS)
    •    Experience with SQL — PostgreSQL or MS SQL
    •    Solid understanding of SOLID, DRY, KISS principles
    •    Proficiency with Git
    •    English — B1+
Nice to Have
    •    Angular Freedom UI component development for Creatio
    •    Experience integrating Google Drive, payment APIs, ERP
    •    Familiarity with Creatio Marketplace package publishing process
    •    SignalR / real-time apps, Docker / container deployments

We Offer
    •    Competitive salary discussed individually
    •    Work on real products sold on Creatio Marketplace — not just client customizations
    •    Growth path to Tech Lead / Solution Architect
    •    Flexible 5-day schedule, fully remote
    •    24 days paid vacation
    •    Direct participation in pre-sales and product architecture decisions