Staff Data Engineer

5 days ago


Hyderabad, India FxConsulting Full time

Responsibilities :


- Implement robust data infrastructure, platforms, and solutions.


- Collaborate effectively with cross-functional teams and CDI leaders, by ensuring the delivery of timely data load and jobs tailored to their unique needs.


- Guide and mentor the team of skilled data engineers, by prioritizing a service-oriented approach and quick response times.


- Advocate for the enhancement, and adherence to high data quality standards, KPI certification methods, and engineering best practices.


- Approach reporting platforms and analytical processes with innovative thinking, considering the evolving demands of the business.


- Implement the strategy for migrating from AWS to GCP with near real-time events, machine learning pipelines using our customer data platform (Segment), and purpose-built pipelines and DBs to activate systems of intelligence.


- Continuously improve reporting workflows and efficiency, harnessing the power of automation whenever feasible.


- Enhance the performance, reliability, and scalability of storage and compute layers of the data lake.


- In the role of Staff Data Engineer, you will report to the Director of Data :


- 8+ years of hands-on experience in data engineering and/or software development.


- Highly skilled in programming languages like Python, Spark, and SQL.


- Comfortable using BI tools like Tableau, Looker, Preset, and so on.


- Proficient in utilizing event data collection tools such as Snowplow, Segment, Google Tag Manager, Tealium, mParticle, and more.


- Comprehensive expertise across the entire lifecycle of implementing compute and orchestration tools like Databricks, Airflow, Talend, and others.


- Skilled in working with streaming OLAP engines like Druid, ClickHouse, and similar technologies.


- Experience leveraging AWS services including EMR Spark, Redshift, Kinesis, Lambda, Glue, S3 and Athena, among others.


- Nice to have exposure to GCP services like BigQuery, Google Storage, Looker, Google Analytics, and so on.


- Good understanding of building real-time data systems as well as AI/ML personalization products.


- Experience with Customer Data Platforms (CDPs) and Data Management Platforms (DMPs), contributing to holistic data strategies.


- Familiarity with high-security environments like HIPAA, PCI, or similar contexts, highlighting a commitment to data privacy and security.


- Accomplished in managing large-scale data sets, handling Terabytes of data and billions of records effectively.


- You hold a Bachelor's degree in Computer Science, Information Systems, or a related field, providing a strong foundational knowledge.

(ref:hirist.tech)

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