Lead Data Engineer â Remote Job.
Lead Data Engineer â Remote Job.
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Salary Not Disclosed
1 Vacancy
Job Description
We are seeking a highly skilled Lead Data Engineer with strong expertise in PySpark SQL and Python as well as a solid understanding of ETL and data warehousing principles. The ideal candidate will have a proven track record of designing building and maintaining scalable data pipelines in a collaborative and fastpaced environment.
Key Responsibilities:
- Design and develop scalable data pipelines using PySpark to support analytics and reporting needs.
- Write efficient SQL and Python code to transform cleanse and optimize large datasets.
- Collaborate with machine learning engineers product managers and developers to understand data requirements and deliver solutions.
- Implement and maintain robust ETL processes to integrate structured and semistructured data from various sources.
- Ensure data quality integrity and reliability across pipelines and systems.
- Participate in code reviews troubleshooting and performance tuning.
- Work independently and proactively to identify and resolve datarelated issues.
- If applicable contribute to Azurebased data solutions including ADF Synapse ADLS and other services.
- Support cloud migration initiatives and DevOps practices if relevant to the role.
- Provide guidance on best practices and mentor junior team members when needed.
Qualifications :
- 8 years of overall experience working with crossfunctional teams (machine learning engineers developers product managers analytics teams).
- 3 years of handson experience developing and managing data pipelines using PySpark.
- Strong programming skills in Python and SQL.
- Deep understanding of ETL processes and data warehousing fundamentals.
- Selfdriven resourceful and comfortable working in dynamic fastpaced environments.
- Advanced written and spoken Engllish is must have for this position (B2 C1 or C2 only).
Nice to have:
- Databricks certification.
- Experience with Azurenative services including: Azure Data Lake Storage (ADLS) Azure Data Factory (ADF) Azure Synapse Analytics / Azure SQL DB / Fabric.
- Familiarity with Event Hub IoT Hub Azure Stream Analytics Azure Analysis Services and Cosmos DB.
- Basic understanding of SAP HANA.
- Intermediatelevel experience with Power BI.
- Knowledge of DevOps CI/CD pipelines and cloud migration best practices.
Additional Information :
Please note that we will not be moving forward with any applicants who do not meet the following mandatory requirements:
- 3 years of experience with PySpark/Python ETL and datawarehousing processes.
- Proven leadership experience in a current project or previous projects/work experiences.
- Advanced written and spoken English fluency is a MUST HAVE (from B2 level to C1/C2)
- MUST BE located in Central or South america as this is a nearshore position (Please note that we are not able to consider candidates requiring relocation or those located offshore).
More Details:
- Contract type: Independent contractor (This contract does not include PTO tax deductions or insurance. It only covers the monthly payment based on hours worked).
- Location: The client is based in the United States; however the position is 100% remote for nearshore candidates located in Central or South America.
- Contract/project duration: Initially 6 months with extension possibility based on performance.
- Time zone and working hours: Fulltime Monday to Friday (8 hours per day 40 hours per week) from 8:00 AM to 5:00 PM PST (U.S. time zone).
- Equipment: Contractors are required to use their own laptop/PC.
- Start date expectation: As soon as possible.
- Payment methods: International bank transfer PayPal Wise Payoneer etc.
Bertoni Process Steps:
- Requirements verification video interview.
- Technical interview
Partner/Client Process Steps:
- CV review.
- 1 Technical video interview with our partner.
- 1 or 2 video interviews with the end client.
Why Join Us
- Be part of an innovative team shaping the future of technology.
- Work in a collaborative and inclusive environment.
- Opportunities for professional development and career growth.
Remote Work :
Yes
Employment Type :
Fulltime
Employment Type
Remote
Company Industry
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
