Data Engineer, Azure
Posted 39ds ago
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Job Description
Data Engineer leading the data engineering team, overseeing technical implementation and project delivery with Azure solutions in a collaborative, remote environment.
Responsibilities:
- Provide leadership and guidance to the data engineering team, including mentoring, coaching, and fostering a collaborative work environment.
- Set clear goals, assign tasks, and manage resources to ensure successful project delivery.
- Work closely with developers to support them and improve data engineering processes.
- Support team members with troubleshooting and resolving complex technical issues and challenges.
- Provide technical expertise and direction in data engineering, guiding the team in selecting appropriate tools, technologies, and methodologies.
- Stay updated with the latest advancements in data engineering and ensure the team follows best practices and industry standards.
- Collaborate with stakeholders to understand project requirements, define scope, and create project plans.
- Support project managers to ensure that projects are executed effectively, meeting timelines, budgets, and quality standards.
- Monitor progress, identify risks, and implement mitigation strategies.
- Act as a trusted advisor for the customer.
- Oversee the design and architecture of data solutions, collaborating with data architects and other stakeholders.
- Ensure data solutions are scalable, efficient, and aligned with business requirements.
- Provide guidance in areas such as data modeling, database design, and data integration.
- Align coding standards, conduct code reviews to ensure proper code quality level.
- Identify and introduce quality assurance processes for data pipelines and workflows.
- Optimize data processing and storage for performance, efficiency and cost savings.
- Evaluate and implement new technologies to improve data engineering processes on various aspects (CICD, Quality Assurance, Coding standards).
- Act as main point of contact to other teams/contributors engaged in the project.
- Maintain technical documentation of the project, control validity and perform regular reviews of it.
- Ensure compliance with security standards and regulations.
Requirements:
- A bachelor's or master’s degree in computer science, Information Systems, or a related field is typically required.
- Minimum of 6+ years of experience in data engineering or a related field.
- Strong technical skills in data engineering, including proficiency in programming languages such as Python, SQL, Pyspark.
- Experience in profiling tool such as Pandas.
- Familiarity with Azure cloud platform viz. Azure Databricks, Data Factory, Data Lake, Azure SQL etc.
- Expertise in working with various data tools and technologies, such as ETL frameworks, data pipelines, and data warehousing solutions.
- Proven experience in leading and managing a team of data engineers, providing guidance, mentorship, and technical support.
- In-depth knowledge of data management principles and best practices, including data governance, data quality, and data integration.
- Strong project management skills, with the ability to prioritize tasks, manage timelines, and deliver high-quality results within designated deadlines.
- Excellent problem-solving and analytical skills, with the ability to identify and resolve complex data engineering issues.
- Knowledge of data security and privacy regulations, and the ability to ensure compliance within data engineering projects.
- Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams, stakeholders, and senior management.
- Continuous learning mindset, staying updated with the latest advancements and trends in data engineering and related technologies.
Benefits:
- Medical Insurance.
- Grocery Coupons.
- Saving fund.
- 30 days of Christmas bonus.
- Remote work bonus.
- Profit sharing.
- 50% vacation premium.
- 100% remote.
- Flexibility regarding working hours.
- 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.
- Upskilling support.
- A diverse, inclusive, and values-driven community.
- Autonomy to choose the way you work.
- Activities to support your well-being and health.




















