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Senior Data Engineer

2.00 to 4.00 Years   Ahmedabad   04 Jan, 2021
Gitlab
Job LocationAhmedabad
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

Data Engineer This role requires an analytical and business-oriented mindset with the ability to implement rigorous database solutions and best practices in order to produce and influence the adoption of strong quality data insights to drive business decisions in all areas of GitLab. Data Engineers are essentially software engineers who have a particular focus on data movement and orchestration.Job Grade The Data Engineer is a grade 6 .Requirements

  • 2+ years hands-on experience deploying production quality code
  • Professional experience using Python, Java, or Scala for data processing (Python preferred)
  • Knowledge of and experience with data-related Python packages
  • Demonstrably deep understanding of SQL and analytical data warehouses (Snowflake preferred)
  • Hands-on experience implementing ETL (or ELT) best practices at scale.
  • Hands-on experience with data pipeline tools (Airflow, Luigi, Azkaban, dbt)
  • Strong data modeling skills and familiarity with the Kimball methodology.
  • Experience with Salesforce, Zuora, Zendesk and Marketo as data sources and consuming data from SaaS application APIs.
  • Share and work in accordance with our values
  • Constantly improve product quality, security, and performance
  • Desire to continually keep up with advancements in data engineering practices
  • Catch bugs and style issues in code reviews
  • Ship small features independently
  • Successful completion of a background check
  • Ability to use GitLab
Responsibilities
  • Maintain our data warehouse with timely and quality data
  • Build and maintain data pipelines from internal databases and SaaS applications
  • Create and maintain architecture and systems documentation
  • Write maintainable, performant code
  • Implement the DataOps philosophy in everything you do
  • Plan and execute system expansion as needed to support the companys growth and analytic needs
  • Collaborate with Data Analysts to drive efficiencies for their work
  • Collaborate with other functions to ensure data needs are addressed
  • This position is always central and reports to the Manager, Data
Senior Data Engineer The Senior Data Engineer role extends the Data Engineer role.Job Grade The Senior Data Engineer is a grade 7 .Responsibilities
  • All requirements of an Intermediate Data Engineer
  • Understand and implement data engineering best practices
  • Improve, manage, and teach standards for code maintainability and performance in code submitted and reviewed
  • Create smaller merge requests and issues by collaborating with stakeholders to reduce scope and focus on iteration
  • Ship medium to large features independently
  • Generate architecture recommendations and the ability to implement them
  • Great communication: Regularly achieve consensus amongst teams
  • Perform technical interviews
Performance Indicators (PI)
  • SLO achievement per data source
  • Infrastructure Cost vs Plan
  • Number of days since last environment audit
  • Mean Time between Failures (MTBF)
  • Mean Time to Repair (MTTR)
Hiring Process Candidates for this position can expect the hiring process to follow the order below. Please keep in mind that candidates can be declined from the position at any stage of the process. To learn more about someone who may be conducting the interview, find their job title on our team page .
  • Selected candidates will be invited to complete an assessment
  • Next, candidates will be invited to schedule a screening call with our Global Recruiters
  • Next, candidates will be invited to schedule a first interview with our Manager, Data
  • Then, candidates will be invited to schedule two interviews with two separate Peers
Additional details about our process can be found on our hiring page .Career Ladder The next step in the Data Analyst job family is to move to the Data Management job family.CompensationComponentsCompensation at GitLab consists of:
  1. Base salary
  2. Options
  3. Bonus in some functions
  4. Discretionary bonus
  5. Retirement contributions in eligible regions
  6. Pay for equipment
  7. Remote work
  8. Unlimited time off
  9. Benefits
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Keyskills :
open source softwaredigital contentproduct qualitydata analysisapachedata managementdata processingdata engineeringsql

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