Job Location: Mumbai (All Areas)
Role & Responsibilities Key highlights of the role are listed below (purely indicative and not limiting)::
โข Must have Skills: Procedural Language Extensions to SQL, Data Warehouse, ETL/ELT, Data stage, Data modeling
โข Demonstrates a detailed knowledge and understanding of large Enterprise Data Warehouse, Data Mart, and ODS.
โข Strong knowledge in DW Concepts, Dimensional Modeling, SCD2, Data modeling, ETL/ELT, Data, and Information Management.
โข Strong in RDBMS and SQL Knowledge.
โข Expert in Data Integration, Data profiling, Data Quality and Metadata Management, and Data Pipeline.
โข Proficiency in translating high level business problem statements to detailed technical designs/solutions.
โข Experience in Agile Development and CI/CD.
โข Ability to take ownership and lead/drive end-to-end deliverables.
โข Ability to resolve complex ETL/ELT problems by proposing and implementing tactical/Strategic solutions.
โข Experience in UNIX/LINUX and Scheduling tools.
โข Participate in SDLC analysis, design, development, unit test, documentation etc.
โข Be the techno-functional expert
โข Pay high attention to detail and accuracy
โข Build effective working relationships with SMEs and users both internal and external. โข Work across multifunctional teams
โข Be Hands on with SQL and PLSQL.
โข Design, build and implement ETL processes workflow to aggregate multiple data sources into an enterprise data model.
โข Translate business requirements into practical and reusable solutions.
โข Support the technical design process and implementation.
โข Previous experience developing databases and ETL processes.
โข Experience in database administration activities and debugging failed scripts jobs.
โข Experience with source system to target system data mapping.
โข Building & processing large volumes of data and transform that data into information that powers decisions for our customers.
โข As Data engineer, develop and move data from the operational and external environments to the business intelligence environment.
โข Identify and analyze data discrepancies and data quality issues and work to ensure data consistency and integrity.
โข Document all solutions and flows.
Job specific skills Applicants should possess the following attributes:
โข Relevant experience in SQL and PL/SQL, Data Modelling
โข Experience with largescale data and query optimization techniques.
โข Experience with ETL/ELT to data warehouse systems.
โข Experience with Azure and AWS cloud services. Familiarity with working in a Cloud environment is preferred.
โข Proficient in SQL
โข Experience in Big Data stack environments ( Hadoop, Hive, Airflow, python)
โข Working experience in building on Azure using Azure SQL, ADF, Databricks, Oracle Cloud HCM, Success factor, MSFT or Teradata Platform is preferred
โข Should be able to understand functional requirements, and come up with solutions.
โข Should have good knowledge/understanding of configuration of Business Processes, Setup, and Security.
โข Self-driven. Perform duties with minimal supervision.
โข Excellent Analytical and problem solving skills.
โข Excellent Documentation, Oral and written communication skills.
โข Ability to work in an agile team
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