Bachelors degree in Computer Science, Engineering, Information Technology, or a related quantitative field.

3+ years of professional experience in data engineering or a similar role, with a strong focus on building and maintaining data pipelines.

Proficiency in at least one programming language commonly used in data engineering

(e.g., Python, Java, Scala). Python is highly preferred.

Strong experience with analytical engines like Apache Pinot and Elasticsearch..

Hands-on experience with ETL/ELT tools and concepts.

Proven experience with Google Cloud Platform (GCP) data services, specifically

BigQuery.

Competency in loading data into BigQuery using various methods (e.g., batch loading from Cloud Storage, streaming inserts).

Robust SQL querying skills within BigQuery, including understanding of

BigQuerys unique SQL dialect and functions.

Familiarity with BigQuery table optimizations like partitioning and clustering.





Experience with BigQuerys data quality features or applying data quality best practices to BigQuery data.

Familiarity with data warehousing concepts and experience with data lake architectures.

Understanding of data quality principles and experience implementing data validation techniques.

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

Excellent problem-solving skills and attention to detail.

Strong communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Data Engineer (Bengaluru)
🏢 PSRTEK
📍 Bengaluru