CHI Software

About the Role

We are looking for a dynamic and experienced Business Development Manager to join our growing IT outsourcing company. This role is critical in driving business growth through the acquisition of new clients and maintaining long-term relationships.

Key Responsibilities

— Manage communication with qualified leads, driving them toward successful deal closure
— Identify client needs, prepare and present tailored outsourcing solutions including discovery phases
— Prepare and deliver compelling proposals, presentations and commercial offers
— Negotiate contracts and close deals with new and existing clients
— Ensure that committed deliverables are met in coordination with delivery teams
— Manage and oversee internal project managers and development teams to ensure project alignment with client expectations
— Represent the company at international conferences, trade shows and industry events
— Travel to the customer site from time to time to run on-site business reviews and strengthen long-term partnerships
— Participate as a speaker or panelist at events to build brand awareness and thought leadership
— Collaborate with marketing and technical departments to support lead generation and delivery success

Requirements

— Proven experience in selling IT outsourcing projects, including discovery and pre-sale consulting phases
— Strong understanding of the IT services market, delivery models and client expectations
— Ability to manage long and complex sales cycles with both technical and business stakeholders
— Experience in account management, ensuring customer satisfaction post-sale
— Demonstrated leadership skills in managing cross-functional teams
— Excellent communication and interpersonal skills
— Public speaking experience and a confident presence at industry events
— Fluent level of English (written and spoken); proficiency in other languages is a plus
— Willingness to travel internationally for client meetings and industry events

Preferred Qualifications

— Experience working with clients in the EU, UK and North America (USA and Canada)
— Valid visas or travel authorization for USA, Canada, and the UK
— Background in business consulting or digital transformation is a plus
— Familiarity with CRM tools and sales automation systems
— Valid car driving license and readiness to travel locally when required

About the Role
 

Company domain - automotive industry.
We are looking for Data Engineers to join a managed service team delivering modern data products.
 

The role is focused on hands-on implementation under defined standards and senior guidance. You will contribute to building data products, ensuring quality and compliance with established frameworks.
 

Responsibilities
 

• Implement pipelines and data transformations
• Build analytical and source-aligned data products
• Follow established standards (data contracts, modeling patterns, testing strategies)
• Work in cross-functional domain teams
• Participate in pair-programming and knowledge transfer
• Support monitoring and operational excellence of delivered data products
   

Required Technical Stack
 

Mandatory experience with:
 

• AWS
• Azure
• Snowflake
• dbt
• Witboost
• Dreamio
• Modern ELT/ETL practices
• CI/CD in data environments
• Automated testing for data pipelines
   

Required Experience
 

• 1–3 years in Data Engineering
• Previous assignments delivering pipelines and data products
• Familiarity with Data Mesh
• Basic understanding of DataOps
• Understanding of governance, lineage, SLAs
• Comfortable working in Agile cross-functional teams

The CHI Software team is not standing still. We love our job and give it one hundred percent of us! Every new project is a challenge that we face successfully. The only thing that can stop us is… Wait, it’s nothing! The number of projects is growing, and with them, our team too. And now we need a Data Engineer.
 

Project Description:

It is a real-time data processing and analytics solution for a high-traffic web application. 
Tech stack.
AWS: AWS Glue Studio, Redshift, RDS, Airflow, AWS Step Function, Lambda, AWS Kinesis, Athena, Apache Iceberg, AWS Data Brew, S3, OpenSearch, Python, SQL, CI/CD, dbt, Snowflake

 Responsibilities:

• Design a scalable and robust AWS cloud architecture;
• Utilize AWS Kinesis for real-time data streaming and aggregation;
• Implemente AWS Lambda for serverless data processing, reducing operational costs;
• Configured AWS RDS (Relational Database Service) for structured data storage and AWS DynamoDB for NoSQL requirements;
• Ensured data security and compliance with AWS IAM (Identity and Access Management) and encryption services;
• Developed and deployed data pipelines using AWS Glue for ETL processes;
• Wrote Python scripts and SQL queries for data transformation and loading;
• Set up continuous integration and continuous deployment (CI/CD) pipelines using AWS CodePipeline and CodeBuild;
• Monitored system performance and data quality using AWS CloudWatch and custom logging solutions;
• Collaborated with other teams to integrate data sources and optimize data flow;
• Achieve a highly scalable real-time data processing system, resulting in a 40% increase in data analysis efficiency and a significant reduction in operational costs.
• Build ETL pipelines from S3 to AWS OpenSearch by AWS Glue
• Upper-Intermediate or higher English level.

The CHI Software team is not standing still. We love our job and give it one hundred percent of us! Every new project is a challenge that we face successfully. The only thing that can stop us is… Wait, it’s nothing! The number of projects is growing, and with them, our team too. And now we need a Data Architect.

Must-Have Skills

• Data Architecture (8+ years, 3+ as architect)
• Enterprise data architecture — conceptual, logical, physical modeling
• Lakehouse architecture patterns — medallion architecture, data mesh principles
• Hybrid data architecture — on-prem ↔ cloud data movement, consistency, governance
• Data modeling — dimensional modeling, Data Vault 2.0, or similar for analytical workloads

• Cloudera / Hadoop Ecosystem (Critical)
• Cloudera Data Platform (CDP) — architecture, administration, security
• Apache Hive / Iceberg — table formats, partitioning strategies, compaction
• Apache Spark on Cloudera — performance tuning, resource management
• HDFS / Ozone — storage architecture, replication, tiering
• Apache Ranger / Knox — security, access control, audit
• Query & Analytics Layer
• Starburst / Trino — federated query architecture, connector management, caching strategies
• Tableau — data source architecture, extract vs. live connections, semantic layer design
• SQL optimization for analytical workloads — join strategies, materialized views, caching
• Streaming & Integration
• Apache Kafka — topic design, schema registry (Avro/Protobuf), exactly-once semantics
• CDC (Change Data Capture) patterns — Debezium, Kafka Connect
• ETL/ELT pipeline design — batch and streaming patterns
• Apache Airflow — DAG design for complex data pipelines
• Governance & Quality
• Informatica — data catalog, data quality, metadata management
• Data governance frameworks — data ownership, stewardship, lineage
• ABAC implementation for data access (attribute-based access control)
• Data quality metrics and monitoring
• Business glossary management

• Cloud Data Architecture (AWS)
• S3 — data lake storage patterns, lifecycle policies, storage classes
• AWS Glue — catalog, ETL jobs
• Lake Formation — fine-grained access control
• Hybrid integration — AWS Direct Connect, data replication strategies
   

Nice-to-Have

• Telco data models (CDR, network events, subscriber data, billing)
• Experience migrating from traditional Hadoop to modern lakehouse
• Data Mesh implementation experience
• Cost optimization for large-scale data platforms
• DAMA-DMBOK or equivalent data management certifications
   

Engagement Model

• Full-time staff augmentation (embedded in team)
• Business trips to Baku every 2 month
• Must overlap with Baku working hours (GMT+4)
• English fluency required