6.0 years

0.0 Lacs P.A.

Pune, Maharashtra, India

Posted:5 days ago| Platform: Linkedin logo

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Skills Required

datatimingengineeringsqlazureetlcommunicationpowerprogrammingpythongovernancesecuritycollaborationapachehadoopsparkkafkadatabrickscertificationsmetricsautomate

Work Mode

On-site

Job Type

Full Time

Job Description

Data Engineer_Full-Time_Pune /Bangalore (Hybrid , 3 Days WFO)_Shift Timing: 4:00 PM to 1:00 AM IST Job Title: Data Engineer Job Type: Full-Time Location: Pune /Bangalore (Hybrid , 3 Days WFO) Shift Timing: 4:00 PM to 1:00 AM IST Experience: 6+Yrs Job Description: Must have skills: • Minimum of 6 years of Data Engineering Experience • Must be an expert in SQL, Data lake, Azure, ETL • Must be an expert in data modeling • Incorta experience is a plus • Excellent oral and written communication skills • Self-starter with analytical, organizational, and problem-solving skills • Must be highly flexible and adaptable to change • Power BI • Strong programming skills in languages such as SQL, Python • Experience with data modelling, data warehousing, and dimensional modelling concept • Familiarity with data governance, data security. • Excellent problem-solving and analytical skills. • Strong communication and collaboration abilities. Nice to Haves: •Knowledge of big data technologies such as Apache Hadoop, Spark, or Kafka •Azure Databricks & Azure Cosmos DB •Relevant certifications such as Microsoft Certified: Azure Data Engineer Associate is a plus. Tasks & responsibilities • Collaborate with team members and stakeholders to understand data and metric requirements • Pull data from a variety of sources into a central data platform • Structure datasets and calculate metrics based on requirements • Develop automated scripts to automate otherwise manual processes • Communicate concerns and data findings as they arise to the appropriate team members or stakeholders • Present data findings and solutions in a way that is easy for non-technical team members and stakeholders to understand Show more Show less

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