Job Description

• Design and implement ETL/ELT pipelines and data workflows
• Manage and maintain scalable data warehousing solutions
• Ensure data quality, consistency, and integrity across sources

Requirements

• 0 to 1 Year Experience in Data Engineering
• Polytechnic Diploma or Degree in Computer science/Data Science is essential
• Freshers with strong SQL and Python scripting will be considered
• Willing to learn new technologies and undergo rigorous training
• strong communication skills and ability to work in a team is essential

Job Description

Data Warehouse Project Manager is responsible for leading the end-to-end planning, implementation, and maintenance of data pipelines, ensuring that data is accurately extracted, transformed, and loaded (ETL) from diverse sources into a central data warehouse or data lake

. This role bridging technical teams and business stakeholders focuses heavily on data quality, validation, and automation, specifically in the ingestion of flat files, APIs, and databases

Key Responsibilities

• Project Planning & Execution: Define project scope, create project plans, manage milestones, and ensure delivery within budget and timelines
• Data Ingestion & Pipelines: Oversee the construction and maintenance of robust ingestion pipelines to move data from databases (RDBMS/Cloud Data Warehouses) and flat files (CSV, JSON, XML) into data lakes/warehouses.
• Data Quality & Validation: Establish data profiling and verification procedures to catch schema drift, data errors, and duplicates during ingestion, ensuring data integrity
• ETL/ELT Processes: Collaborate with data engineers to design and optimize data extraction, transformation, and loading routines using tools like Informatica IDMC, IBM Data Stage, Talend, or Apache Airflow. 
• Stakeholder Management: Liaise with business users and technical teams to gather requirements, report status, and address risks. 
• Vendor/Resource Management: Manage third-party vendors and internal teams, including staff allocation and work direction.

Required Skills & Qualifications

Experience: 5–8+ years of experience in data warehousing or data engineering project management.

Data Technologies: Proficiency in cloud data warehouses (Databricks, Snowflake, Azure Synapse) and ETL/ingestion tools (INFORMATC/ DataStage).

Technical Skills: Strong understanding of SQL, data modeling (Kimball/Inmon), data profiling, and orchestration platforms.

Project Methodologies: Experience with Agile/Scrum or Waterfall project management methodologies.

Education: Bachelor’s degree in Computer Science, Information Systems, or a related field