Data Engineer (Onsite, Evening Shift, Lahore, PKR Salary)

HR POD - Hiring Talent Globally; Lahore; On-site; PKR 781,200 - 1,004,400; Full time

Job summary

A technology hiring firm is looking for a Data Engineer to optimize data pipelines and conduct exploratory analysis. The role requires at least 3 years in data-focused positions, proficiency in SQL, and experience in building intuitive dashboards. Successful candidates will collaborate with cross-functional teams to deliver actionable insights, promote a data-driven culture, and maintain data integrity. This on-site position supports evening shifts in Lahore and offers competitive salary.

Qualifications

• 3+ years of experience in a data-focused role.
• Strong command of SQL for optimized queries.
• Experience in data cleaning, transformation, and ETL workflows.

Responsibilities

• Define and optimize the data pipeline and ingestion processes.
• Conduct exploratory data analysis for business insights.
• Build dashboards and automated reports for teams.

Skills

SQL

Data cleaning

ETL/ELT workflows

Data visualization (Metabase, Tableau, Looker, Power BI)

Machine learning techniques

Python or R

Cloud data warehouses (Snowflake, BigQuery, Redshift)

Data governance

Job description

Job Openings Data Engineer (Onsite, Evening Shift, Lahore, PKR Salary)

About the job Data Engineer (Onsite, Evening Shift, Lahore, PKR Salary)

Requirements:

• 3+ years of experience in a data-focused role (Data Scientist, Data Analyst, Business Intelligence).
• Strong command of SQL with experience writing optimized queries (joins, aggregations, filters, CTEs).
• Proven experience in data cleaning, transformation, and ETL/ELT workflows.
• Experience using Databricks or similar platforms for data processing, notebooks, or workflow management.
• Experience building dashboards using tools like Metabase, Tableau, Looker, or Power BI.
• Ability to create clear and intuitive dashboards for non-technical stakeholders.
• Strong analytical thinking, with the ability to translate data into insights and insights into actionable recommendations.
• Excellent communication skills, with the ability to explain complex findings in a simple and clear manner.
• Highly organized, detail-oriented, and capable of managing multiple projects concurrently.
• Proactive and comfortable working in a dynamic, fast-paced environment.
• Experience with machine learning techniques (regression, classification, clustering, forecasting).
• Familiarity with Python or R for data analysis, modeling, or automation.
• Exposure to SaaS or healthcare datasets.
• Experience working with large datasets or cloud data warehouses (Snowflake, BigQuery, Redshift).
• Experience with data governance, metadata management, or setting up data catalogs

Responsibilities:

• Define, manage, and optimize the data pipeline, ingestion from internal systems, external sources, APIs, etc.
• Clean, validate, and transform raw data to prepare it for analysis and reporting.
• Conduct exploratory data analysis to identify trends, patterns, anomalies, and business opportunities.
• Write efficient SQL queries to extract data, build metrics, and support business decisions.
• Build dashboards, visualizations, and automated reports for cross-functional teams.
• Collaborate with product, engineering, operations, and leadership to understand data needs and provide actionable insights.
• Monitor data quality, integrity, and performance; proactively detect and resolve issues.
• Maintain documentation for datasets, definitions, dashboards, and key metrics.
• Promote a data-driven culture by enabling teams to use data confidently and effectively.
• Continuously evaluate and recommend improvements to the Companys data tools, architecture, and processes.