Data Engineer

Dear

Greetings from Tekskills India Pvt Ltd (CMMI Level3 Company) !!!

Pleasure mailing you ! We have an immediate job requirement. Below are the job details, Please go through below job description.If you are suitable and interested, please send your updated word resume inline to the JD & share the below submission details.

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Job title: - Data Engineer
Location: Bengaluru & Pune (Relocation is considered) Shift Timings: 4:00 PM to 1:00 AM IST Experience Level: Level 2 (6 +Yrs) Interview: 1 round (Virtual) Laptop: Provided Notice period -Immediate to 30 days

1.Project Overview: Candidate will be working in Risk metrics team to analyze large pool of data belonging to Identity Access Management and drive analytics to reduce the risk exposure.

2.Contractors Role: The Data Analytics Engineer will be responsible for using SQL and other programming languages to pull data from a variety source into a central data platform. They must collaborate with team members and stakeholders to understand data requirements and use that to effectively structure datasets and develop metrics. Data Engineer should be an expert in SQL and data modeling. They must be a self-starter who is able to collaborate with team members and stakeholders, develop effective solutions, and present findings.

3.Experience Level: 6 + Years relevant experience is must.

4.Qualifications: - Bachelor's/master’s degree in computer science, Engineering, or a related field

SQL, Data lake, Azure, ETL

6.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.

7.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