Lead Data Engineer - SQL/Python/PySpark (7-10 yrs)

Job Role: Lead Data Engineer.

Total Experience : 7+ years.

Education : Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related field.

Work location : Hyderabad.

Notice period : Immediate joiner.

Mandatory Skills required : SQL + Python+P yspark + AWS + Airflow + Snowflake + DBT.

Required Skills :

- Minimum of 4+ years of experience in data engineering, ETL, and data warehouse development.

- Proven experience with ETL tools like Informatica Power Center or IDMC.

- Strong proficiency in Python and PySpark for data processing.

- Experience with cloud-based data platforms such as AWS Glue, Snowflake, Databricks, or Redshift.

- Hands-on experience with SQL and RDBMS platforms (i.e., Oracle, MySQL, PostgreSQL).

- Familiarity with data orchestration tools like Apache Airflow.

Technical Skills :

- Advanced knowledge of data warehousing concepts and best practices.

- Strong understanding of data modeling, schema design, and data governance.

- Proficiency in designing and implementing scalable ETL pipelines.

- Experience with cloud infrastructure (AWS, Azure, GCP) for data storage and processing.

Soft Skills :

- Excellent communication and collaboration skills.

- Ability to lead and mentor a team of engineers.

- Strong problem-solving and analytical thinking abilities.

- Ability to manage multiple projects and prioritize tasks effectively.

Preferred Qualifications :

- Experience with machine learning workflows and data science tools.

- Certification in AWS, Snowflake, Databricks, or relevant data engineering technologies.

- Experience with Agile methodologies and DevOps practices.