Iskustvo
Junior, Medior, Senior
Angažman
Puno radno vrijeme
Rok prijave
još 30 dana
O kompaniji
HTEC Group is a global consulting, software engineering, and digital product development company that empowers the world's best high-tech companies, disruptive startups, and global enterprises with innovative product design and sophisticated engineering services.
HTEC Group was founded in 2008 in Belgrade, Serbia and today has its global headquarters in San Francisco. The company has consultancy, innovation, and product design offices in Silicon Valley, New York, and London, with its technological heart spread across development centers in Central and Southeast Europe. Overall, HTEC employs more than 2,000 highly skilled professionals in 29 locations in 12 countries.
HTEC combines Silicon Valley-based design thinking with the best engineering talent to support global clients with complete digital product development, from strategy and conceptualization to digital product design and agile engineering at scale. The company possesses vast expertise across a multitude of domains, including Healthcare, Retail, Transportation and Smart Mobility, Logistics, FinTech, Green Energy, Media, and Deep Technology.
Opis posla
Key Responsibilities:
- Takea ownership of features and code quality. Creates and maintains technical assets (e.g., code, documentation, diagrams, and unit tests) and follows proper industry practices (e.g., code styling, code quality, etc.)
- Always uses the latest technology available on the market and follow industry best practices
- Provides suggestions for optimization and performance improvement of business processes with an emphasis on the useful value of data. Actively participates and contributes to project activities (e.g., daily meetings, retrospective reviews, planning sessions, etc.) while continually providing feedback
- Designs and implements systems that depend on diverse data sources
- Designs, implements and automates data processing pipelines and ETL processes
- Familiar with industry standards such as HIPAA, HITRUST, PCI-DSS, GDPR, SOC2, ISO-27001. Experience in implementing data governance policies to ensure compliance and secure data management practices
- Designs and implements dynamic data parsing, transformation and storage systems
- Builds automated data processing pipelines
- Understands and advocates the importance of high data accuracy throughout the system
- Spread the culture of maintaining high data quality to support building data-driven products
- Makes informed decisions about storage systems when designing and implementing data engineering/warehousing solutions
- Proactively adapts to new tools that significantly improve efficiency, takes care to apply (where possible) AI practices in the data engineering domain.
Kvalifikacije
Required Qualifications:
- In-depth knowledge of at least one big data processing framework (preferably Spark)
- Proficient with at least one of the following: Scala, Java, or Python (preferably more than one of them).
- Proficient in SQL
- Experience with Data Lakehouse implementation
- Deep experience (preferably certified) in Databricks or Snowflake
- Experience with leading cloud providers, including AWS, GCP, and Azure.
- Experience with cloud computing and serverless paradigms
- Experience with building data processing pipelines and complex workflows Experience with Version Control Systems (Git, SVN)
- Data specific algorithm design (search, clustering, data extraction, data transformation)
- Relational databases, object databases, graph databases, document databases
- English language proficiency
Dodatne Informacije
Nice to have:
- Experience with distributed environments
- Experience with CQRS and event sourcing approaches
- Experience with streaming technologies (Kafka)
- Experience with open-source data formats like Apache Iceberg, Delta Lake, and Apache Hudi, along with technologies such as Apache Spark, Trino, Flink, and Presto for efficient data lakehouse management.
- Experience with virtualization and containerized applications (Docker, Kubernetes)
- A desire to build valuable data assets and help business decision-makers.
- Is enthusiastic about AI, large language models (LLM - GPT, o1, Claude, Llama, other architectures), and building agentic systems
- Able to work on recent problems and devise creative non-standard solutions
- It thrives through ideation, R&D and product development.
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