HI,

Greetings from Savantis!

We are hiring for one of our clients. Please go through the below details and let us know if you are interested in this opportunity.

Job Title: Staff Data Engineer

Experience: 5-8 Years

Job Location: Hyderabad (Hybrid work mode)

Notice period: Immediate to 30 Days (if serving notice then LWD should be 45Days max)

Requirements:

• 4+ years of experience in ETL development, data pipeline engineering, or data warehouse management.
• Strong proficiency in SQL (PostgreSQL, MySQL, or similar) for data manipulation and optimization.
• Experience with data pipeline tools (e.g., Apache Airflow, AWS Glue, dbt, or similar).
• Hands-on experience with cloud-based data platforms (e.g., AWS Redshift, Snowflake, Big Query, or Azure Synapse).
• Knowledge of data modeling, data warehousing concepts, and performance tuning.
• Experience working with structured and semi-structured data formats (JSON, Parquet, Avro, etc.).
• Proficiency in Python or another scripting language for data automation and transformation.
• Strong problem-solving and troubleshooting skills.
• Excellent communication skills and ability to work with both technical and non-technical stakeholders.
• Experience working in Agile development practices and delivering iterative solutions.

Nice to Have:

• Experience with orchestration tools like Apache Airflow or Prefect.
• Familiarity with real-time data streaming (Kafka, Kinesis, or similar).
• Knowledge of NoSQL databases (MongoDB, DynamoDB, etc.).
• Experience with CI/CD pipelines for data engineering workflows.
• Certifications in AWS, Azure, GCP, or relevant data engineering technologies.

Responsibilities:

• Design, develop, and maintain scalable ETL pipelines to support data integration and analytics needs.
• Build, optimize, and manage data pipelines and workflows to ensure efficient data movement and transformation.
• Monitor and troubleshoot data pipeline performance, ensuring data reliability and accuracy
• Maintain and optimize data warehouse architecture, ensuring efficient storage and data retrieval.
• Work with large, complex datasets to support analytical and business intelligence needs.
• Define, execute, and optimize SQL queries for data transformation and extraction.
• Collaborate with Business Intelligence, Data Analytics, and Engineering teams to ensure data accessibility and performance.
• Automate data ingestion, processing, and refresh schedules to maintain up-to-date datasets.
• Implement data governance, security, and compliance best practices.
• Continuously evaluate and adopt new technologies to improve data infrastructure.

If you are interested in this opportunity, please share the below details along with your updated CV

Total experience:

Relevant experience:

Current Organization:

No of Organizations Changed:

Education:

Current CTC:

Expected CTC:

Notice Period:

Current location:

Are you willing to relocate to :

What is your current team size and your primary responsibility in the team? :

Do you have work experience with teams in the US? :

How do you ensure that you deliver exceptional support to the end user/customer? :

Please rate your expertise with the standard Data Team skills listed below.

1 (no experience) - 5 (expert) :-

SQL

Tableau

Python

ETLs

AWS - s3

AWS - Redshift

GCP - BigQuery

Inter-System Data Pipelines/Integrations

What is the most exciting thing to you about work?

Request: If you have any references for this profile, please share their contact Number / CV.

Feel free to revert for any clarifications

Thanks & Regards,

Lakshmi Tulasi Kanna

HR - Recruiter

M: [email protected]