Job summary
Job post source
This job is directly from Softcrylic
Job overview
The Lead Data Engineer role at Softcrylic involves leading data migration and pipeline development efforts to help clients leverage data effectively.
Responsibilities and impact
The candidate will develop and migrate data pipelines from BigQuery to Databricks using Python, transition pipelines from Airflow to Airbyte/Dagster, and ensure data quality through rigorous testing.
Experience and skills
The role requires 8+ years in data engineering, proficiency in Python scripting for data migration, experience with BigQuery, Databricks, Airflow, Airbyte, Dagster, and strong data quality management skills.
Work environment and culture
Softcrylic offers an engaging, team-focused, and rewarding remote work environment passionate about delivering creative data solutions.
Company information
Softcrylic has over 20 years of experience helping diverse clients solve business challenges through technology and data, recently joining forces with Hexaware.
Job location and travel
This is a full-time remote position.
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 8+ years of experience in Data Engineering, focusing on data migration, pipeline development, and quality assurance, as these are key for the Lead Data Engineer role at Softcrylic.
Highlight your expertise in migrating datasets from BigQuery to Databricks using Python scripts, and your experience with data pipeline tools like Airflow, Airbyte, and Dagster, which are critical skills mentioned in the job description.
Apply through multiple channels including Softcrylic's corporate career page and LinkedIn to maximize your application visibility and increase your chances of landing an interview.
Connect with current employees in the data engineering or technology divisions at Softcrylic on LinkedIn; use ice breakers like commenting on Softcrylic’s recent partnership with Hexaware or asking about their approach to data migration challenges to start meaningful conversations.
Optimize your resume for ATS by incorporating keywords from the job description such as 'data migration,' 'BigQuery,' 'Databricks,' 'Python scripting,' 'Airflow,' 'Airbyte,' 'Dagster,' and 'data quality controls' to ensure it passes automated screening.
Leverage Jennie Johnson's Power Apply feature to automate applying through multiple platforms, tailor your resume for ATS, and identify LinkedIn connections for networking, allowing you to focus your time on preparing for interviews and refining your skills.
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