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Job Requirements of Data Engineer:
-
Employment Type:
Full-Time
-
Location:
Hyderabad, Telangana (Onsite)
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Data Engineer
Tailored Management Services Inc
Hyderabad, Telangana (Onsite)
Full-Time
Description: Normal business offshore (IST) office hours with a little overlap with Onshore team (CST and PST).
On- Site position at HDC location - source local candidates to Hyderabad
Job Title: Analytics Data Engineer
Job Description :
Develop and own efficient SQL and Python code to support data analysis and ELT pipeline development.
Build and maintain data transformation models to transform raw warehouse data into usable formats for analysis and reporting.
Conduct exploratory and deep-dive analysis to identify trends, answer business questions, and support strategic decisions.
Partner with cross-functional teams to understand data needs and communicate analytical outcomes clearly and concisely.
Support experimentation efforts to assess performance and recommend improvements.
Skills Requirements:
Experience in data engineering, analytics engineering, or related fields,
Expertise in SQL, Python, and data transformation frameworks,
Strong experience with cloud-based data warehouses,
Business knowledge and Retail Domain Knowledge,
Experience working with business intelligence tools) and enabling self-serve analytics.
Familiarity with machine learning operations (Mlops) and experimentation tooling is a plus.
On- Site position at HDC location - source local candidates to Hyderabad
Job Title: Analytics Data Engineer
Job Description :
Develop and own efficient SQL and Python code to support data analysis and ELT pipeline development.
Build and maintain data transformation models to transform raw warehouse data into usable formats for analysis and reporting.
Conduct exploratory and deep-dive analysis to identify trends, answer business questions, and support strategic decisions.
Partner with cross-functional teams to understand data needs and communicate analytical outcomes clearly and concisely.
Support experimentation efforts to assess performance and recommend improvements.
Skills Requirements:
Experience in data engineering, analytics engineering, or related fields,
Expertise in SQL, Python, and data transformation frameworks,
Strong experience with cloud-based data warehouses,
Business knowledge and Retail Domain Knowledge,
Experience working with business intelligence tools) and enabling self-serve analytics.
Familiarity with machine learning operations (Mlops) and experimentation tooling is a plus.
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