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
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If you are interested, please share your updated resume along with the following details for the next steps:
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# Preferred Location (Pune /Bangalore):
# Highest Qualification (University Name and Passing year):
# Total experience:
# Current CTC and take home:
# Expected CTC and take home:
# Official Notice Period:
# Are you serving notice period if yes then mention LWD (Last Working Day):
# Any offer you are holding (if yes please share the offer amount):
# Date of Birth(DOB):
# PAN Card Number (To upload your profile in client's ATS):
Keyskills: data modeling data engineer
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