Data Engineer-Technical Lead

4 days ago

Bengaluru Karnataka India, Karnataka Sigmoid Full time

Kindly find the Job Description Below.

Job Title:Technical Lead-Azure Data Engineer

Location: Bangalore

Years of Experience: 10+ years of experience

Sigmoid works 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 10+ years of experience in big data technologies, particularly Azure, 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:

  • Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
  • 9+ 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 Azure cloud technologies

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