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Data Engineer

5.00 to 8.00 Years   Pune   10 Nov, 2022
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Job LocationPune
EducationNot Mentioned
SalaryRs 8 - 16 Lakh/Yr
IndustryIT - Software
Functional AreaIT Operations / EDP / MIS
EmploymentTypeFull-time

Job Description

    • 5-8 years of experience in an analytics role with strong focus on Data Engineering
    • Experience building reports and dashboards in a data visualization tool
    • Passionate about data, analytics and automation. Experience cleaning and modeling large quantities of raw, disorganized data (we usedbt)
    • Experience with a variety of data sources
    • Demonstrate capacity to clearly and concisely communicate complex business logic, technical requirements, and design recommendations through iterative solutions
    • Deep understanding of SQL in analytical data warehouse (we useSnowflakeSQL) and in business intelligence tools (we use Tableau)
    • Hands on experience working with SQL, performing ETL/ELT operations and building data pipelines
    • Familiarity with Git and the command line
    • Deep understanding of relational and non-relational databases, SQL and query optimization techniques, and demonstrated ability to both diagnose and prevent performance problems
    • Effective communication and collaboration skills, including clear status updates
    • Positive and solution-oriented mindset
    • Comfort working in a highly agile, intensely iterative environment
    • Self-motivated and self-managing, with strong organizational skills
    • Ability to work with remote teams
    Responsibilities
    • Collaborate with the business and other functions across the company by building custom analytical objects, reports and dashboards with useful analysis and data insights
    • Explain trends across data sources, potential opportunities for growth or improvement, and data caveats for descriptive, diagnostic, predictive (including forecasting), and prescriptive data analysis
    • Develop deep understanding of how the data flows through different systems and transformed at various stages
    • Understand and document the full lifecycle of data and our common data framework so that all data can be integrated, modeled for easy analysis, and analyzed for data insights
    • Document every action in either issue/MR templates, the handbook, or the DBT documentation so your learnings turn into repeatable actions and then into automation
    • Expand our database with clean data (ready for analysis) by implementing data quality tests while continuously reviewing, optimizing, and refactoring existing data models
    • Craft code that meets our internal standards for style, maintainability, and best practices for a high-scale database environment. Maintain and advocate for these standards through code review
    • Provide data modeling expertise through code reviews, pairing, and training to help deliver optimal, DRY, and scalable database designs and queries in Snowflake and in DBT
    • Become code-owner of specific database and data model schemas
    • Own the end-to-end process of building data models, data pipelines & analytical models as well as providing data support as and when needed by the Analytics/Engineering/Operations team
    • Contribute to and implement data warehouse and data modeling best practices, keeping reliability, performance, scalability, security, automation, and version control in mind
    • Follow and improve our processes and workflows for maintaining high quality data and reporting while ensuring the Data-led Operations philosophy in everything you do
    Interested candidate can send their resume on varsha@postaresume.co.inCall now on +91- hidden_mobileThanksVarsha ParmarRecruitment Manager

Keyskills :
etldata analysisdata warehouse architecturedata engineeringsqldata models

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