We are looking for an experienced Data Engineering Lead with strong technical expertise and leadership skills to design, build, and optimize scalable data platforms. The ideal candidate should have hands-on experience with Python, big data technologies, cloud platforms, and enterprise data engineering practices while leading teams to deliver high-quality data solutions.
Key Responsibilities
- Design, develop, and maintain scalable data pipelines, ETL/ELT workflows, and cloud-based data platforms.
- Build and optimize enterprise data solutions using Hadoop ecosystems, distributed computing frameworks, and relational databases.
- Develop efficient data models to support analytics, reporting, and machine learning initiatives.
- Collaborate with cross-functional teams to deliver data-driven business solutions.
- Implement data governance, security,
privacy, and quality standards across data platforms.
- Lead technical design discussions and mentor data engineering teams.
- Build reliable, scalable, and high-performance data processing solutions.
- Optimize existing data pipelines for performance, scalability, and cost efficiency.
- Support AI/ML initiatives through robust data engineering and feature engineering pipelines.
- Drive DevOps and CI/CD best practices for data engineering projects.
Required Skills & Experience
- 8-10 years of experience in Data Engineering.
- Solid programming expertise in:
- Python (Pandas, NumPy, PySpark)
- SQL
- Hands-on experience with:
- Hadoop Ecosystem
- Databricks
- Snowflake
- Azure and/or AWS Cloud
- Impala
- Strong experience in ETL/ELT development using:
- Apache Airflow
- Apache NiFi
- Azure Data Factory
- Experience with:
- Data Lakes
- Distributed Computing
- Data Warehousing
- CI/CD
📌 Data Engineer | 8+ Year | Pune
🏢 Apexon
📍 Pune
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