Data Engineer

Deadline:- 9th July 2025

Data Engineer

Are you a wizard at building robust and scalable data pipelines?

We’re searching for an experienced Data Engineer with 1-3 years of expertise to strengthen our data infrastructure team.

You’ll be instrumental in designing, constructing, and maintaining the systems that power our analytics and AI initiatives.

What You’ll Do:

– Design, build, and maintain scalable and reliable data pipelines for various data sources (structured and unstructured).

– Develop ETL/ELT processes to ingest, transform, and load data into data warehouses and data lakes.

– Optimize data models and database schemas for performance and efficiency.

– Ensure data quality, integrity, and security across all data systems. Collaborate with data scientists, analysts, and AI engineers to understand data requirements and deliver solutions.

– Implement data governance policies and best practices. Monitor data pipeline performance, troubleshoot issues, and ensure data availability.

– Stay up-to-date with emerging data technologies and recommend solutions for continuous improvement.

What We’re Looking For:

– 1-3 years of hands-on experience in data engineering or a similar role. Candidates with 3+ years of experience are also highly encouraged to apply for senior roles.

– Proficiency in programming languages like Python or Java for data manipulation.

– Strong experience with relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra).

– Hands-on experience with ETL/ELT tools and frameworks.

– Familiarity with cloud data platforms (e.g., AWS Redshift, Google BigQuery, Azure Synapse Analytics).

– Knowledge of data warehousing concepts and data modeling techniques.

– Experience with version control systems (e.g., Git).

– Excellent problem-solving and analytical skills.

– Ability to work effectively in a team environment.

Bonus Points If You Have:

– Experience with big data technologies (e.g., Apache Spark, Hadoop, Kafka).

– Familiarity with data orchestration tools (e.g., Apache Airflow, Prefect).

– Knowledge of data visualization tools (e.g., Tableau, Power BI).