Data Engineer

Indore - India

Monthly Salary: Not Disclosed

Posted on: 2 hours ago

Vacancies: 1 Vacancy

Job Summary

Key Responsibilities:

Extract and process data from multiple databases APIs and cloud platforms by establishing strong source connections.

Design develop and maintain ETL pipelines for efficient data transformation and ingestion.

Write and optimize complex SQL queries for data extractionvalidationandreporting.

Utilize PySpark and BigData technologies(HadoopSparkDatabricksetc.)to process and analyze large datasets.

Perform data analysis using Python (PandasNumPyetc.)to uncover trendspatternsand insights.

Develop and maintain interactive dashboards and reports in Power BI(good to have).

Work with cross-functionalteams to understand business requirements and translate them into data-driven solutions.

Experience in Data warehouse schema creation and optimization

Ensure data accuracy security and compliance with company policies.

Present analytical findings and recommendations to stakeholders in a clear and actionable manner.

Required Skills & Qualifications:

Minimum 5 Years of experience in data analytics data engineering or business intelligence.

Strong expertise in SQL(writing optimizing and managing complex queries).

Hands-on experience in ETL processes and building/maintaining data pipelines.

Experience working with Big Data technologies (HadoopSparkPySparkDatabricksetc.).

Proficiency in Python for data analysis(Pandas NumPy etc.).

Experience of working on Fabric

Experience of working on Databrick

Experience in connecting to and processing data from multiple data sources (databases APIs cloud platforms).

Experience of working on Cloud platforms ( Azure /AWS / GCP)

Experience of delivering the Projects

Experience of requirement understanding

Experience of preparing estimations and creating POCs

Experience of working with different Project domains.

Proficiency in delivering High quality codes to clients

Proficiency in Data warehouse schema creation.

Experience of client communication.

Strong analytical and problem-solving skills.

Experience of mentoring and managing the team.

Key Responsibilities: Extract and process data from multiple databases APIs and cloud platforms by establishing strong source connections. Design develop and maintain ETL pipelines for efficient data transformation and ingestion. Write and optimize complex SQL queries for data extractionvalidationan...