דרושים » תוכנה » DBA Big Data

Requirements:
Over 2 years' experience as DBA (infrastructure and applications), preferably with experience in production environment.
Proven track record with Linux at a high level
Vertica experience is a significant advantage!
Undergraduate degree in computer science / engineering or candidates with army service in software development / system administration - a significant advantage.
Patient and service-oriented, can fit well into a team, good self-learning skills and lateral, high-pressure work
Experience in working with customers.

Requirements:
Over 2 years' experience as Linux Sysadmin
Experience in writing Perl, Python script
Experience in writing complex SQL queries - a significant advantage
Experience in high-level databases - a significant advantage
Experience in software development - a significant advantage
Undergraduate degree in computer science / engineering or candidates with army service in software development / system administration - a significant advantage.
Patient and service-oriented, can fit well into a team, good self-learning skills and lateral, high-pressure work.
Experience in working with customers.

Requirements:
Over 2 years' experience as Python developer in Linux environment.
Experience with databases.
Undergraduate degree in computer science / engineering or candidates with army service in software development / system administration - a significant advantage.
Patient and service-oriented, can fit well into a team, good self-learning skills and lateral, high-pressure work.
Experience in working with customers.

Requirements:
Experience in BI development using one or more of these tools: BO, Cognos, Informatica.
Experience with MicroStrategy - a significant advantage
Experience in high-level Linux work - a significant advantage.
Experience in writing scripts: Perl, Python - a significant advantage.
Experience in writing complex SQL queries - a significant advantage.
Experience in high-level databases - a significant advantage.
Undergraduate degree in computer science / engineering or candidates with army service in software development / system administration - a significant advantage.
Patient and service-oriented, can fit well into a team, good self-learning skills and lateral, high-pressure work.
Experience in working with customers.

Requirements:
BSc / MSc degree in Computer Science/ Engineering / Mathematics or Statistics
At least 5 years of experience working as a Data Engineer or Data Architect or ML Engineer
At least 3 years of experience working in high level software development, preferably in Python
Proven hands-on experience in designing, developing and optimizing complex solutions that move and/or manipulate large volumes of data
Sound understanding of different big data file formats such as Parquet, Arrow, HDF5, etc.
Experience with Docker, Linux, CI/CD tools and concepts, Kubernetes.
Experience with data pipelining tools such as Airflow, Kubeflow, MLFlow and similar technologies.
Hands-on experience with large-scale distributed computing systems and related technologies (e.g., Spark, Hive)
Understanding of ML concepts and processes.
Result oriented, self-motivated, fast learner, can do attitude and a great team player
Advantage:

Experience and understanding of various storage solutions (NFS, S3, software defined distributed storage, etc.)
Experience working with data versioning tools such as DVC, LakeFS, GitLFS or similar technologies.
Experience working with AWS data processing tools and concepts.
Experience with large, offline on-premises production deployments.
Experience with Pandas, Numpy, Jupyter notebook.
Hands-on experience in lower-level programming languages such as C++ or RUST.

Requirements:
At least 2 years of experience as DBA Oracle and/or SQL Server
LINUX/UNIX experience is a significant advantage
Working in a dev team experience is a significant advantage
Code developing in scripts language or some other languages
Application & infrastructure abilities
Service oriented.

Requirements:
Minimum 10 years of experience as a Database Administrator (DBA) in production environments.
In-depth knowledge of Microsoft SQL Server, especially MSSQL 2019 and MSSQL 2022.
Primary focus on infrastructure tasks (Infrastructure DBA; 70% infrastructure-related).
MANDATORY: Advanced experience in installing, configuring, and supporting high-availability solutions like AlwaysOn Availability Groups and Failover Cluster Instances (FCI).
Advanced skills in managing database backup and disaster recovery (Backup & Restore).
Knowledge and practical experience with SQL Server Integration Services (SSIS).
Hands-on skills in monitoring and performance optimization of SQL Server (SQL Profiler, Extended Events, SQL Server Performance Monitor, SQL Sentry, SolarWinds DPA, RedGate SQL Monitor, or equivalent tools).
Experience in database migrations, including minimal downtime scenarios.
Strong proficiency in T-SQL query language.
Candidate must be willing to perform on-call duties once a week.
Additional Preferred Qualifications:
Experience with Microsoft Azure cloud solutions (Azure SQL Database, Azure Managed Instance).
Familiarity with virtualization tools VMware, Hyper-V (preferred).
Automation skills using PowerShell, Python, or other scripting languages (preferred).
Understanding DevOps principles and practical experience with CI/CD tools, especially GitLab.
Certifications such as Microsoft Certified: Azure Database Administrator Associate, or equivalent will be considered an advantage.
Familiarity with Transaction Replication technology (preferred).

Requirements:
5+ years of experience in database administration or engineering.
Expertise in PostgreSQL-MUST!
Experience with database performance tuning and query optimization.
Knowledge of database replication, partitioning, and high availability strategies.
Nice to Have:
Expertise in S3, Opensearch, Kafka.
Familiarity with Kubernetes, Docker, and cloud platforms.

Requirements:
5+ years of experience in database administration or engineering. · Expertise in PostgreSQL-MUST! · Experience with database performance tuning and query optimization. · Knowledge of database replication, partitioning, and high availability strategies. Nice to Have: · Expertise in S3, Opensearch, Kafka. · Familiarity with Kubernetes, Docker, and cloud platforms.