Manager Data Engineering

Majid Al Futtaim

8 years

25 - 30 Lacs

gurugram

Posted:2 days ago| Platform:

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Skills Required

dml sql queries power bi sql querying etl ddl sql stored procedures

Work Mode

Work from Office

Job Type

Full Time

Job Description

Design, develop, and implement scalable data pipelines using SQL and big data technologies.
Build and maintain large-scale data warehouses and data lakes.
Develop and define key business questions, support analysis, improvement, and creation of key metrics and dashboards.
Implement high-quality, enterprise-grade solutions in one of the largest and most complex data warehouse environments.
Create custom data pipeline solutions where existing tools prove insufficient.
Own end-to-end ETL process from planning to collection to analysis, including writing custom queries and data cleaning and manipulation.
Acquire data from primary or secondary data sources and maintain databases/data systems, ensuring consistent data quality on a continuous basis.
Design, develop, test, and deploy scalable Power BI dashboards and real-time database solutions and pipeline to Power BI Dashboard.
Design ETL using SSIS Packages to reprocess any date data at any time using Reprocess Logic.
Write T-SQL Stored procedures for automation tasks, perform and fine-tune Stored Procedures and SQL Queries and User Defined Functions, and for Triggers, Constraints, and Indexes using various DDL and DML commands.
Maintain Log and Audit information in SQL tables, experienced in providing Logging and Error Handling by using Event Handler for SSIS Packages.
Develop SQL queries/scripts to validate data such as checking duplicates, null values, truncated values, and ensuring correct data aggregations.
Perform data quality analysis using advanced SQL skills as well as Count Validation, Dimensional Analysis, Statistical Analysis, and Data Quality Validation in Data Migration.
Extensive SQL querying on Staging, Data warehouse and Data Mart.
Develop C# scripts in SSIS and automate tasks using C#.
Ensure regular information exchange with all relevant stakeholders and update them on the acquired knowledge from the business intelligence analysis.
Build relationships and maintain strong partnerships with key personnel to help achieve organizational goals.
Perform ad-hoc BI analysis reports, proposing and presenting recommendations to senior management on strategic decisions, and planned future initiatives.
Support on the preparation of business presentations and reports related to financial and operational performance for various stakeholders, on periodic and ad hoc basis as and when required.
Support on performing regular audit of various processes and databases for the FP&A function to identify gaps and risks, and propose corrective actions.
Assist with the implementation of the performance management process by setting objectives, monitoring performance, and provide constructive feedback.
Provide mentorship for developing a continuous talent pipeline for key roles and inputs on training needs, coordinating with the HC department to ensure facilitation of training requirements.
Develop and implement on-the-job training for the team and assist in developing annual manpower plans.
Ensure the implementation of MAF Retails corporate policies and relevant procedures.

Job Requirements

Strong understanding of data warehousing, data lakes, and data migration.
Experience with SQL Server, SSIS, and other data integration tools.
Knowledge of big data technologies and data analytics.
Excellent problem-solving skills and attention to detail.
Ability to work collaboratively with cross-functional teams.
Strong communication and interpersonal skills.
A Bachelor's degree in Computer Science, Information Technology, or a related field is required.
Minimum 5 years of experience in data engineering or a related field.

The role description reflects the general details considered necessary to describe the principal responsibilities of the role identified and shall not be construed as an exhaustive description of all the work requirements inherent to success in the role.

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