Technical Lead- Data Engineer

Kindly find the Job Description Below.

Job Title: Technical Lead- Data Engineer

Location: Bangalore

Years of Experience: 8+ years of experience

Sigmoidworks with a variety of clients from start-ups to fortune 500 companies. We are looking for a detailed oriented self-starter to assist our engineering and analytics teams in various roles as a Software Development Engineer.

As an Technical Lead- Data Engineer, you will be responsible for building a highly-scalable and extensible big data platform that provides the foundation for collecting, storing, modeling, and analyzing massive data sets from multiple channels.

We are looking for a skilled Data Engineer with 6+ years of experience in big data technologies, particularly Python, PYSpark, SQL and data lakehouse architectures. The ideal candidate will have a strong background in building scalable data pipelines and experience with modern data storage formats, including Apache Iceberg. You will work closely with cross-functional teams to design and implement efficient data solutions in a cloud-based environment.Key Responsibilities:

• Data Pipeline Development:
• Design, build, and optimize scalable data pipelines using Apache Spark.
• Implement and manage large-scale data processing solutions across data lakehouses.
• Data Lakehouse Management:
• Work with modern data lakehouse platforms (e.g.Apache Iceberg) to handle large datasets.
• Optimize data storage, partitioning, and versioning to ensure efficient access and querying.
• SQL & Data Management:
• Write complex SQL queries to extract, manipulate, and transform data.
• Develop performance-optimized queries for analytical and reporting purposes.
• Data Integration:
• Integrate various structured and unstructured data sources into the lakehouse environment.
• Work with stakeholders to define data needs and ensure data is available for downstream consumption.
• Data Governance and Quality:
• Implement data quality checks and ensure the reliability and accuracy of data.
• Contribute to metadata management and data cataloging efforts.
• Performance Tuning:
• Monitor and optimize the performance of Spark jobs, SQL queries, and overall data infrastructure.
• Work with cloud infrastructure teams to optimize costs and scale as needed.

Qualifications:

• Bachelors or Masters degree in Computer Science, Information Technology, or a related field.
• 8+ years of experience in data engineering, with a focus on Java/python, Spark and SQL Programming languages.
• Hands-on experience with Apache Iceberg, Snowflake, or similar technologies.
• Strong understanding of data lakehouse architectures and data warehousing principles.
• Proficiency in AWS data services.
• Experience with version control systems like Git and CI/CD pipelines.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.

Nice to Have:

• Experience with containerization (Docker, Kubernetes) and orchestration tools like Airflow.
• Certifications in AWS cloud technologies