Senior Software Engineer (AWS & Data) Job at Cyclad Sp. z o.o.

Senior Data Engineer

Atlassian is looking for a Senior Data Engineer to join our Go-To Market Data En...

Location

India , Bengaluru

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

A BS in Computer Science or equivalent experience
At least 5+ years professional experience as a Sr. Software Engineer or Sr. Data Engineer
Strong programming skills (Python, Java or Scala preferred)
Experience writing SQL, structuring data, and data storage practices
Experience with data modeling
Knowledge of data warehousing concepts
Experience building data pipelines, platforms, micro services, and REST APIs
Experience with Spark, Hive, Airflow and other streaming technologies to process incredible volumes of streaming data
Experience in modern software development practices (Agile, TDD, CICD)
Strong focus on data quality and experience with internal/external tools/frameworks to automatically detect data issues, anomalies

Job Responsibility

Help our stakeholder teams ingest data faster into our data lake
Make our data pipelines more efficient
Build micro-services, architect, design, and enable self-serve capabilities at scale
Work on an AWS-based data lake backed by open source projects such as Spark and Airflow
Identify ways to make our platform better and improve user experience
Apply strong technical experience building highly reliable services on managing and orchestrating a multi-petabyte scale data lake

What we offer

Health coverage
Paid volunteer days
Wellness resources

Fulltime

Senior Data Engineer

Atlassian is looking for a Senior Data Engineer to join our Go-To Market Data En...

Location

India , Bengaluru

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

A BS in Computer Science or equivalent experience
At least 5+ years professional experience as a Sr. Software Engineer or Sr. Data Engineer
Strong programming skills (Python, Java or Scala preferred)
Experience writing SQL, structuring data, and data storage practices
Experience with data modeling
Knowledge of data warehousing concepts
Experience building data pipelines, platforms, micro services, and REST APIs
Experience with Spark, Hive, Airflow and other streaming technologies to process incredible volumes of streaming data
Experience in modern software development practices (Agile, TDD, CICD)
Strong focus on data quality and experience with internal/external tools/frameworks to automatically detect data issues, anomalies

Job Responsibility

Help our stakeholder teams ingest data faster into our data lake
Make our data pipelines more efficient
Build micro-services
Architect, design, and enable self-serve capabilities at scale
Apply your strong technical experience building highly reliable services
Manage and orchestrate a multi-petabyte scale data lake
Transform vague requirements into solid solutions
Solve challenging problems creatively

What we offer

Health coverage
Paid volunteer days
Wellness resources

Fulltime

Senior Data Engineering Manager

Data is a big deal at Atlassian. We ingest billions of events each month into ou...

Location

United States , San Francisco

Salary:

168700.00 - 271100.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

stellar people management skills and experience in leading an agile software team
thrive when developing phenomenal people, not just great products
worked closely Data Science, analytics and platform teams
expertise in building and maintaining high-quality components and services
able to drive technical excellence, pushing for innovation and quality
at least 10 years experience in a software development role as an individual contributor
4+ years of people management experience
deep understanding of data challenges at scale challenges and the eco-system
experience with solution building and architecting with public cloud offerings such as Amazon Web Services, DynamoDB, ElasticSearch, S3, Databricks, Spark/Spark-Streaming, GraphDatabases
experience with Enterprise Data architectural standard methodologies

Job Responsibility

build and lead a team of data engineers through hiring, coaching, mentoring, and hands-on career development
provide deep technical guidance in a number of aspects of data engineering in a scalable ecosystem
champion cultural and process improvements through engineering excellence, quality and efficiency
work with close counterparts in other departments as part of a multi-functional team, and build this culture in your team

What we offer

health coverage
paid volunteer days
wellness resources

Fulltime

Senior Data Engineer

Atlassian is looking for a Senior Data Engineer to join our Data Engineering Tea...

Location

United States , San Francisco

Salary:

135600.00 - 217800.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

BS in Computer Science or equivalent experience with 5+ years as Data Engineer or similar role
Programming skills in Python & Java (good to have)
Design data models for storage and retrieval to meet product and requirements
Build scalable data pipelines using Spark, Airflow, AWS data services (Redshift, Athena, EMR), Apache projects (Spark, Flink, Hive, and Kafka)
Familiar with modern software development practices (Agile, TDD, CICD) applied to data engineering
Enhance data quality through internal tools/frameworks detecting DQ issues
Working knowledge of relational databases and SQL query authoring

Job Responsibility

Collaborating with partners, you will design data models, acquisition processes, and applications to address needs
Lead business growth and enhance product experiences
Collaborate with Technology Teams, Global Analytical Teams, and Data Scientists across programs
Extracting/cleaning data, understanding generating systems
Improve data quality by adding sources, coding rules, and producing metrics as requirements evolve

What we offer

health coverage
paid volunteer days
wellness resources

Fulltime

Senior Data Engineer

Collaborate with engineering and TPM leaders, developers, and process engineers ...

Location

India , Bengaluru

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

BS in Computer Science or equivalent experience with 8+ years as a Senior Data Engineer or similar role
10+ Years of progressive experience in building scalable datasets and reliable data engineering practices.
Proficiency in Python, SQL, and data platforms like DataBricks
Proficiency in relational databases and query authoring (SQL).
Demonstrable expertise designing data models for optimal storage and retrieval to meet product and business requirements.
Experience building and scaling experimentation practices, statistical methods, and tools in a large scale organization
Excellence in building scalable data pipelines using Spark (SparkSQL) with Airflow scheduler/executor framework or similar scheduling tools.
Expert experience working with AWS data services or similar Apache projects (Spark, Flink, Hive, and Kafka).
Understanding of Data Engineering tools/frameworks and standards to improve the productivity and quality of output for Data Engineers across the team.
Well versed in modern software development practices (Agile, TDD, CICD)

Job Responsibility

Collaborate with engineering and TPM leaders, developers, and process engineers to create data solutions that extract actionable insights from incident and post-incident management data, supporting objectives of incident prevention and reducing detection, mitigation, and communication times.
Work with diverse stakeholders to understand their needs and design data models, acquisition processes, and applications that meet those requirements.
Add new sources, implement business rules, and generate metrics to empower product analysts and data scientists.
Serve as the data domain expert, mastering the details of our incident management infrastructure.
Take full ownership of problems from ambiguous requirements through rapid iterations.
Enhance data quality by leveraging and refining internal tools and frameworks to automatically detect issues.
Cultivate strong relationships between teams that produce data and those that build insights.

Fulltime