Your Role
The Data Engineer is responsible for designing, building, and maintaining the data infrastructure that supports data analytics and machine learning. You'll ensure our data is accessible, reliable, and scalable for various business needs.
What You’ll Be Doing
- Develop, construct, test, and maintain data architectures, including databases and large-scale processing systems.
- Build robust and scalable ETL/ELT pipelines to move and transform data from various sources.
- Optimize data retrieval and processing to support business intelligence and data science teams.
- Implement data quality and governance standards to ensure data integrity and security.
- Collaborate with stakeholders to understand data requirements and deliver solutions.
What We’d Love To See
- 3 – 5 years of experience in data engineering.
- Strong proficiency in programming languages like Python or Java.
- Expertise in SQL and experience with relational and NoSQL databases.
- Experience with big data technologies like Apache Spark, Hadoop, or Kafka.
- Familiarity with cloud data platforms (AWS, Azure, GCP) and data warehousing solutions (Snowflake, Redshift, BigQuery).
It’d Be Great If You Had
- Knowledge of data orchestration tools like Apache Airflow.
- Experience with data modeling and schema design.
What You Can Expect
- Opportunity to work with a diverse and well-experienced team.
- To be part of the team who creates phenomenal growth stories for worlds renowned brands.
- Professional Growth Roadmap.
- Real-time mentorship and guidance from the leaders.
- A workplace that invests in your career, cares for you and is fun & engaging.
- You can be yourself and do amazing work.
Benefits
Interested in joining our team of artists, geeks, strategizers, and writers? If you’re a passionate, talented individual, we want to hear from you.
- Competitive salary
- Flexible work-life balance with a 5-day working Policy
- Paid time off
- Learning & Development bonus
- Health coverage
- Rewards & Recognitions
- Event & Festivals celebrations
- Ongoing training programs
- Onsite opportunities
- Recognition opportunities for open-source contributions
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