Data Engineer: Build Scalable Pipelines & Insights

We are looking for a self-driven, motivated, and results-oriented professional to join our dynamic team as a Data Engineer. Details of the same have been highlighted below:

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• Design, develop, and optimize data pipelines and ETL processes for efficient data ingestion, transformation, and integration from multiple sources.
• Manage and maintain data warehouses and data lakes, ensuring accuracy, availability, and security.
• Work closely with business stakeholders, data analysts, and data scientists to translate business needs into technical solutions.
• Implement data quality frameworks, monitoring systems, and performance tuning.
• Contribute to data modeling, architecture, and governance best practices.
• Support the development of dashboards, reports, and analytical models to provide actionable insights.
• Mentor junior engineers and foster a culture of collaboration and technical excellence within the data team.

• Strong experience in SQL, Python. Familiarity with data warehousing technologies (e.g., Snowflake, Redshift, Big Query) and ETL tools (e.g., Apache Airflow, Talend, Fivetran).
• Experience with data visualization tools such as Tableau, Power BI, or Looker.
• Knowledge of cloud-based platforms (AWS, Google Cloud, Azure) and associated data services.
• Experience with Hadoop, Spark, Kafka, or other big data technologies is a plus.
• Strong understanding of relational databases, data modeling concepts, and designing data architectures.
• Ability to analyze complex data sets and identify trends, correlations, and insights.
• Excellent verbal and written communication skills, with the ability to explain complex data concepts to non-technical stakeholders.

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field (Master’s preferred).
• 2+ years of experience in data engineering or a related field, preferably in analytics or business intelligence.
• Strong experience working with large datasets and complex data pipelines.
• Previous experience in a similar industry or field is a plus.

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