Associate Team Lead- Data Engineer

Devsinc 17; Lahore; On-site; PKR 2,400,000 - 4,800,000; Full time

Job summary

Devsinc is seeking an Associate Team Lead - Data Engineer to lead the design and optimization of data pipelines, turning raw data into actionable insights.

You will collaborate with data scientists, analysts, and stakeholders to define requirements, ensure data quality, and oversee ETL processes across cloud platforms. The role emphasizes governance, performance, and staying ahead of industry trends.

Qualifications

• Bachelor’s degree in Computer Science, Data Engineering, or a related field.
• 4+ years of experience in data engineering.
• Strong knowledge of SQL and relational databases (PostgreSQL, MySQL).
• Experience with ETL tools and technologies (Airflow, Talend, AWS Glue).
• Proficiency in Python or Scala for data processing.
• Hands-on experience with cloud platforms (AWS, Azure, GCP) and data services.
• Understanding of data warehousing concepts and storage technologies (Snowflake, Redshift).
• Excellent problem-solving and data integrity focus.
• Strong communication and collaboration across teams.
• Proactive learner of new tools and technologies.

Responsibilities

• Design, develop, and enhance scalable data pipelines and data models to streamline ETL processes.
• Collaborate with data scientists, analysts, and stakeholders to define data requirements and deliver robust data solutions.
• Ensure data quality, consistency, and accuracy by implementing validation and testing mechanisms.
• Utilize cloud services and data warehousing solutions to store and manage large volumes of data.
• Monitor and troubleshoot production data pipelines, providing timely resolutions to data issues.
• Contribute to data governance by enforcing data security, privacy, and compliance best practices.
• Stay updated with industry trends and emerging technologies in data engineering space.

Skills

Problem solving

Communication

Collaboration

Learning mindset

Education

Bachelor’s degree in Computer Science, Data Engineering, or a related field

Tools

SQL

PostgreSQL

MySQL

Airflow

Talend

AWS Glue

Python

Scala

AWS

Azure

GCP

Snowflake

Redshift

Job description

Devsinc is on the lookout for a highly motivated Associate Team Lead- Data Engineer to join our dynamic data team. In this pivotal role, you will be responsible for building and optimizing data pipelines that transform raw data into valuable insights and facilitate data-driven decision-making. Your ability to work collaboratively with cross-functional teams and your expertise in data engineering will play a key role in shaping our data architecture and ensuring the integrity and accessibility of our data.

Key Responsibilities:

• Design, develop, and enhance scalable data pipelines and data models to streamline the extraction, transformation, and loading (ETL) processes.
• Collaborate with data scientists, analysts, and stakeholders to define data requirements and deliver robust data solutions that align with business goals.
• Ensure data quality, consistency, and accuracy by implementing validation and testing mechanisms.
• Utilize cloud services and data warehousing solutions to efficiently store and manage large volumes of data.
• Monitor and troubleshoot production data pipelines, providing timely resolutions to issues affecting data availability.
• Contribute to data governance initiatives by enforcing best practices related to data security, privacy, and compliance.
• Stay updated with industry trends and emerging technologies in the data engineering space.

Requirements

• Bachelor’s degree in Computer Science, Data Engineering, or a related field.
• 4+ years of experience in data engineering or a related role, with a proven track record in building data pipelines.
• Strong knowledge and experience in SQL and relational databases (e.g., PostgreSQL, MySQL).
• Familiarity with ETL tools and technologies (e.g., Apache Airflow, Talend, AWS Glue).
• Proficiency in programming languages such as Python or Scala for data processing.
• Hands-on experience with cloud platforms (AWS, Azure, GCP) and their data services.
• Understanding of data warehousing concepts and experience with data storage technologies (e.g., Snowflake, Redshift).
• Excellent problem-solving skills with a focus on data integrity and performance optimization.
• Strong communication skills, with the ability to convey technical concepts to non-technical stakeholders.
• A collaborative spirit, with the ability to work closely with team members across various functions.
• A proactive approach to learning new tools and technologies in the data ecosystem.