Dear,
Greetings..!!
We are hiring Data Engineer position for our organization.
If you are interested, Kindly share your updated CV along with below details to
[email protected]
Required Details:
Full Name
Email ID
Contact Number
Overall Experience
Relevant Experience
No of Org worked
Current Company
Designation
Current CTC
Expected CTC
Notice Period
Highest Education
Year of Passing
Current Location
Reason for Change
Role: Data Engineer
Experience: 2-3 Years
Location: Hyderabad(On-site_5-Days)
About the Role:
Job Summary:
We are looking for a skilled Data Engineer with 23 years of hands-on experience in developing, building, and maintaining data pipelines and ETL/ELT processes. The ideal candidate should have strong knowledge of Python, SQL, data warehousing, and data processing technologies, with the ability to transform raw data into reliable, high-quality datasets for analytics and reporting.
Key Responsibilities
- Design, develop, and maintain scalable data pipelines using Python and SQL.
- Build and manage ETL/ELT workflows to extract, transform, and load data from multiple sources.
- Write optimized SQL queries for data extraction, transformation, and analysis.
- Develop data integration solutions from databases, APIs, files, and other sources.
- Perform data cleaning, validation, transformation, and quality checks.
- Monitor data pipelines, troubleshoot failures, and resolve data-related issues.
- Optimize pipeline performance and database query efficiency.
- Work with data warehouses and data lakes to support reporting and analytics.
- Collaborate with data analysts, data scientists, and business teams to understand data requirements.
- Maintain technical documentation and follow data engineering best practices.
Required Skills
- 23 years of experience in Data Engineering or a related role.
- Strong programming skills in Python.
- Good knowledge of SQL, including joins, subqueries, CTEs, and window functions.
- Hands-on experience with ETL/ELT pipelines and data transformation.
- Understanding of relational databases such as MySQL or PostgreSQL.
- Familiarity with data warehousing concepts, dimensional modeling, and database design.
- Experience with data formats such as CSV, JSON, and Parquet.
- Knowledge of data quality, data validation, and error handling.
- Familiarity with Git and version control.
- Positive analytical, problem-solving, and communication skills.
Preferred Skills
- Exposure to cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).
- Familiarity with Apache Spark or PySpark.
- Knowledge of orchestration tools such as Apache Airflow.
- Exposure to cloud data warehouses such as Snowflake, Amazon Redshift, or Google BigQuery.
- Basic understanding of Docker and CI/CD pipelines.
- Familiarity with Agile/Scrum methodologies.
📌 Data Engineer (Hyderabad)
🏢 Covasant Technologies
📍 Hyderabad