Female - Associate Data Engineer

Associate Data Engineer _ Female Location: Gulberg III, Lahore Job Type: Full-Time | On-site Experience: 1–2 Years About the Role We are looking for a motivated Associate Data Engineer to join our data team. The ideal candidate will support the development, optimization, and maintenance of scalable data solutions. This role is a great opportunity for an early-career professional who wants to work with modern data technologies, build reliable data pipelines, and gain hands-on experience in data engineering, analytics, and AI-enabled projects. Key Responsibilities Assist in designing, developing, and maintaining ETL/ELT data pipelines. Collect, clean, transform, and validate data from databases, APIs, files, and third-party platforms. Write and optimize SQL queries for reporting, analytics, and data processing. Support the development and maintenance of data warehouses, data lakes, and data models. Work with Python for data extraction, transformation, automation, and processing tasks. Assist senior engineers with pipeline monitoring, debugging, performance optimization, and issue resolution. Implement data quality checks, validation rules, and documentation for datasets and workflows. Collaborate with data engineers, analysts, AI engineers, and business teams to understand data requirements. Support integration of data from multiple systems and ensure data accuracy and consistency. Participate in code reviews, technical discussions, and continuous learning initiatives. Required Skills & Qualifications Bachelor’s degree in Computer Science, Software Engineering, Data Science, Information Technology, or a related field. 1–2 years of experience in Data Engineering, BI, Data Analytics, ETL Development, or a similar role. Strong understanding of SQL, including joins, subqueries, CTEs, window functions, and query optimization. Basic to intermediate proficiency in Python, including Pandas and data-processing libraries. Understanding of ETL/ELT concepts, data pipelines, and data integration. Familiarity with relational databases such as PostgreSQL, MySQL, SQL Server, or Oracle. Basic knowledge of data warehousing, dimensional modeling, star schema, and data lakes. Familiarity with APIs, JSON, CSV, and other common data formats. Understanding of Git and version-control practices. Strong analytical, problem-solving, communication, and teamwork skills. Preferred Skills Exposure to Apache Spark, PySpark, Databricks, or similar distributed data-processing tools. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform. Experience with orchestration tools such as Apache Airflow, Azure Data Factory, AWS Glue, or Prefect. Familiarity with dbt, Snowflake, BigQuery, Redshift, Delta Lake, or Azure Synapse. Knowledge of Power BI, Tableau, Looker, or other reporting and visualization tools. Interest in AI/ML data pipelines and modern lakehouse architecture. Pay: Rs100,000.00 - Rs150,000.00 per month Work Location: In person