The role involves data modeling, troubleshooting complex issues, optimizing storage architectures and mentoring junior engineers while working with GCP and Python.
3
Tasks:
- Modelling the data from various sources and technologies.
- Troubleshooting and supporting the most complex and high impact problems, to deliver new features and functionalities. Designing and optimizing data storage architectures, including data lakes, data warehouses, or distributed file systems.
- Implementing techniques like partitioning, compression, or indexing to optimize data storage and retrieval.
- Identifying and resolving bottlenecks, tuning queries, and implementing caching strategies to enhance data retrieval speed and overall system efficiency.
- Identifying and resolving issues related to data processing, storage, or infrastructure.
- Monitoring system performance, identifying anomalies, and conducting root cause analysis to ensure smooth and uninterrupted data operations.
- Train and mentor junior data engineers, providing guidance and knowledge transfer.
What We're Looking For:
- At least 9+ years’ experience as DE - Python, GCP, BigQuery
- Object oriented programming, Python and SQL
- Strong knowledge in cloud computing platforms - Google Cloud - Candidate should be able to design, build, and deploy data pipelines in the cloud, to ingest data from various sources like databases, APIs or streaming platforms.
- Experience in composer or Apache Airflow and knowledge of Dataplex is a plus
- Experience in dq checks implementation, any frameworks like Clouddq, Pydeequ.
- Good Knowledge of Dq dimensions
- Experience working with GCP cloud-based infrastructure & systems ·
- Programming skills (SQL, Python, other scripting),
- Proficient in data modelling techniques and database optimization.
- Knowledge of query optimization, indexing, and performance tuning is necessary for efficient data retrieval and processing.
- Proficient in database management systems such as SQL (Big Query is a must), NoSQL.
- Candidate should be able to design, configure, and manage databases to ensure optimal performance and reliability.
- Experience with data integration tools and techniques, such as ETL and ELT Candidate should be able to integrate data from multiple sources and transform it into a format that is suitable for analysis.
We offer:
- Stable employment. On the market since 2008, 1500+ talents currently on board in 7 global sites.
- “Office as an option” model. You can choose to work remotely or in the office, depending on your location.
- Flexibility regarding working hours and your preferred form of contract.
- Comprehensive online onboarding program with a “Buddy” from day 1.
- Cooperation with top-tier engineers and experts.
- Unlimited access to the Udemy learning platform from day 1.
- Certificate training programs. Lingarians earn 500+ technology certificates yearly.
- Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly.
- Internal Gallup Certified Strengths Coach to support your growth.
Missing one or two of these qualifications? We still want to hear from you! If you bring a positive mindset, we'll provide an environment where you feel valued and empowered to learn and grow.
Top Skills
Apache Airflow
BigQuery
Elt
ETL
GCP
Python
SQL
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What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
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- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
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- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
