Job summary
Job post source
This job is directly from Softcrylic
Job overview
The Lead Data Engineer - Azure Databricks & ADF will design and optimize data pipelines and transformation processes, playing a crucial role in enhancing data-driven solutions for clients.
Responsibilities and impact
Daily responsibilities include leading the development of data pipelines, converting Scala programs to PySpark, collaborating with teams to translate business needs into technical solutions, and ensuring data integrity and compliance.
Experience and skills
Candidates should have strong expertise in Azure Databricks, Python, Spark, and experience with Azure Data Factory, with a preference for those who can convert Scala to PySpark.
Work environment and culture
Softcrylic promotes an engaging and team-focused work environment where creativity and collaboration are valued.
Company information
Softcrylic has over 20 years of experience helping organizations solve business challenges through technology, working with various industries including travel, retail, and banking.
Company overview
Softcrylic is a global technology and consulting company specializing in data analytics, digital transformation, and IT services. They generate revenue by providing tailored solutions that enhance business intelligence, customer engagement, and operational efficiency for clients across various industries. Established in 2000, Softcrylic has built a reputation for delivering innovative and scalable technology solutions, leveraging expertise in data engineering, cloud services, and software development. The company is committed to fostering long-term partnerships and driving digital growth for its clients through strategic insights and cutting-edge technology.
How to land this job
Tailor your resume to emphasize your expertise in Azure Databricks, Python, and Spark, as these are critical for the Lead Data Engineer role at Softcrylic.
Highlight your experience in data pipeline design, development, and optimization, particularly with Azure Data Factory and data transformation processes.
Be proactive in applying through various platforms, including Softcrylic's corporate site and LinkedIn, to maximize your chances of being noticed.
Connect with professionals in the data engineering division at Softcrylic on LinkedIn to express your interest and gather insights about the role; consider ice breakers like discussing recent projects they worked on or sharing your thoughts on industry trends.
Ensure your resume is optimized for ATS by including specific keywords from the job description, such as 'Azure Databricks,' 'PySpark,' and 'data transformation' to improve your visibility in applicant tracking systems.
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