Senior Data Engineer

The Company Tekrowe Digital, a rapidly growing Software Development and Technology Innovation company in Pakistan, specializes in cutting-edge Web and Mobile technologies. Serving clients globally, we prioritize impact investments in technology for positive change. With a talented team, we fosters a culture of quality, growth, innovation, and teamwork. We emphasize employee well-being in a competitive and fast-paced environment, making it an ideal choice for those seeking rapid growth and innovation in a supportive work setting. If you seek rapid growth and innovation in a supportive and balanced work environment, Tekrowe could be the right fit for you.

The Role:
We are seeking a talented and experienced Senior Data Engineer to join our team and who will play a key role in building and maintaining Client's data infrastructure. You will also be responsible for designing, developing, and deploying data pipelines, transforming and enriching data, and ensuring the quality and accessibility of data for stakeholders across the organization.

Key Responsibilities:

• Design, develop, and implement scalable and efficient data pipelines using Apache Spark, Kafka, and AWS Kinesis for real-time and batch data processing.
• Own the optimization and performance of data pipelines, ensuring timely delivery of data for critical business needs.
• Build and maintain data models in data warehouse systems like Snowflake, or AWS Redshift, with a focus on data quality and consistency.
• Develop and implement data cleansing and transformation routines to transform raw data into actionable insights.
• Collaborate with data scientists, analysts, and business users to understand data requirements and translate them into technical solutions.
• Monitor and maintain data infrastructure health, troubleshoot issues, and implement data security measures.
• Automate routine tasks and implement DevOps practices to streamline data engineering processes.
• Document data pipelines, data models, and processes for future reference and knowledge sharing.
• Stay abreast of the latest trends and technologies in the data engineering space and proactively suggest improvements to the data infrastructure.

Requirements:

• Senior-level: At least 5+ years of experience as a data engineer or related role.
• Data Management: Knowledge of data modeling techniques, data quality practices, and data governance principles.
• Communication and Collaboration: Excellent written and verbal communication skills, ability to collaborate effectively with stakeholders across technical and non-technical teams.
• Problem-solving: Strong analytical and problem-solving skills with the ability to troubleshoot complex data issues.
• Continuous Learning: Passion for learning and staying updated with the latest advancements in data engineering technologies

Technical Expertise

• Data Warehousing: In-depth expertise in Snowflake, or AWS Redshift.
• Streaming Services: MUST Be Proficient in Kafka, AWS Kinesis, or similar streaming technologies.
• Big Data Processing: MUST Have Strong understanding of Apache Spark and its ecosystem (Spark SQL, DataFrames, Spark Streaming, PySpark).
• Programming Languages: Proficiency in Python, Scala, or Java.
• Cloud Technologies: Familiarity with AWS or Azure cloud platforms is a plus.

Bonus Skills

• Experience with CI/CD pipelines and DevOps practices.
• Knowledge of containerization technologies like Docker and Kubernetes.
• Experience with machine learning libraries and frameworks.

Why should you work for Tekrowe?

• Fast-growing company working on the latest Tech stacks - You will grow personally and professionally as we grow and scale rapidly.
• Mentorship by Veterans of Software industry who have a combined experience of over 50 years in Software development in the US, Europe, and Pakistan.
• Collaborations with talented engineers and resources which give you the opportunity to develop your skills.
• Chance to work directly with the CEO, COO and CTO
• Adequately challenging work and opportunity to grow at a fast pace.
• Opportunity to work on International Projects with a Diverse Clientele
• Company lunches, celebrations, and employee engagement activities
• Market Competitive Salary and Total Reward Package based on Experience.
• Opportunity to work with young and talented team members who you can lead and shape into outstanding individuals for your team.
• Recognition and rewards based on performance.
• Health Coverage
• Great company culture that promotes healthy work-life balance, productivity, flexibility, and fun-at-work environment.

Hiring Process

Step 1:
Initial CV Screening from the pool

Step 2:
Screening calls to shortlisted candidates

Step 3:
Online Technical Interviews (Based on your experience)

Step 4:
Meeting with HR & C-Suite at the office.

Step 5:
Job Offer