Data Engineer

MUST HAVE 10+ YEARS OF EXPERIENCE in Python, SQL, ETL/ELT Development, Apache Spark, Hadoop, AWS / Azure / Google Cloud Platform (Google Cloud Platform), CI/CD Pipelines, Linux/Unix, * 60 months of experience designing, developing, and maintaining ETL/ELT data pipelines using Python and SQL.

• 60 months of experience with relational databases such as Oracle, SQL Server, PostgreSQL, or MySQL, including complex SQL query development and performance tuning.
• 48 months of experience with cloud platforms such as AWS, Azure, or Google Cloud Platform and cloud-based data services.
• 48 months of experience with big data technologies including Apache Spark, Hadoop, and Kafka.
• 36 months of experience with data warehousing solutions such as Snowflake, Amazon Redshift, Azure Synapse, or Google BigQuery.
• 36 months of experience with workflow orchestration tools such as Apache Airflow or equivalent scheduling tools.
• 24 months of experience developing and optimizing data models, data lakes, and data integration solutions.

LGL Tech is a trusted technology partner specializing in Software Development, Product Engineering, and IT Services. We provide comprehensive solutions and strategic advisory services to businesses worldwide, from mid-market enterprises to Fortune 100 companies.

With expertise in ERP, SaaS, AI/ML, cloud computing, infrastructure management, and cybersecurity, we help businesses modernize operations, streamline processes, and drive digital transformation.

Balancing innovation with managing legacy systems and mitigating security risks is critical in today’s digital world. LGL Tech delivers tailored software solutions, scalable IT services, and strategic technology approaches that accelerate growth and ensure long-term success.