Job Title: Data Engineer
Location: Hyderabad, Telangana
Employment Type: Full-time | On-site / Hybrid
About the Role
We are looking for a skilled and detail-oriented Data Engineer to design, build, and maintain scalable data pipelines and architectures that power analytics, reporting, and machine learning across the organization. You will play a key role in ensuring reliable, high-quality data is accessible to teams for data-driven decision-making.
Key Responsibilities
- Design, develop, and maintain ETL/ELT pipelines for structured and unstructured data.
- Build and optimize data warehouses, data lakes, and data marts.
- Develop data integration solutions across multiple data sources and systems.
- Ensure data quality, governance, security, and compliance throughout the data lifecycle.
- Collaborate with Data Analysts, Data Scientists, and software engineers to deliver trusted datasets.
- Monitor, troubleshoot, and optimize data pipelines for performance and scalability.
- Automate data processing workflows using Python, SQL, and cloud-native tools.
- Document data architecture, workflows, and best practices.
Required Skills & Qualifications
- Bachelor's or Master's degree in Computer Science, Data Engineering, IT, or a related field.
- 25 years of experience in data engineering or a related role.
- Strong proficiency in SQL and experience with relational databases (PostgreSQL, MySQL, SQL Server).
- Hands-on experience with big data technologies such as Spark, Kafka, or Hadoop.
- Proficiency in Python or Java for data pipeline development.
- Experience with cloud platforms such as AWS, Azure, or GCP (S3, Redshift, BigQuery, Databricks, etc.).
- Understanding of ETL/ELT concepts, data modeling, and data warehousing.
- Familiarity with Git and CI/CD practices.
Preferred / Good-to-Have
- Experience with workflow orchestration tools (Airflow, Prefect, Luigi).
- Knowledge of NoSQL databases (MongoDB, Cassandra, DynamoDB).
- Exposure to containerization and DevOps tools (Docker, Kubernetes).
- Understanding of data governance, metadata management, and security best practices.
Why Join Us
- Work on high-impact data platforms and analytics systems.
- Collaborate with cross-functional teams in a fast-paced environment.
- Opportunity to work with modern data tools and cloud technologies.
- Competitive compensation with strong career growth opportunities.
