Azure Data Engineer || Remote
Posted Today by 1756884490
Negotiable
Outside
Remote
USA
Summary: We are looking for a Senior/Lead Data Engineer with 12-15 years of experience to join our team at KPI, focusing on data transformation projects. The ideal candidate will have strong hands-on experience with SQL, PySpark, Azure, Databricks, and ADLS, and will be responsible for designing and implementing data solutions. This role offers the opportunity to work remotely and contribute to innovative data engineering efforts. Mentorship of junior engineers and collaboration with cross-functional teams are key aspects of this position.
Key Responsibilities:
- Design, development, and implementation of data pipelines and solutions using PySpark, SQL, and related technologies.
- Work closely with cross-functional teams to understand business requirements and translate them into robust data solutions.
- Design and implement data warehousing solutions, ensuring scalability, performance, and reliability.
- Stay up to date with modern technologies and trends in data engineering and apply them to improve our data platform.
- Provide guidance and mentorship to junior data engineers, ensuring best practices in coding, design, and development.
Key Skills:
- Minimum 8+ years of overall experience in IT Industry.
- 4+ years of experience in data engineering, with a strong background in building large-scale data solutions.
- 4+ years of hands-on experience developing and implementing data pipelines using Azure stack experience (Azure, ADF, Databricks, Functions).
- Proven expertise in SQL for querying, manipulating, and analyzing large datasets.
- Strong knowledge of ETL processes and data warehousing fundamentals.
- Self-motivated and independent, with a let’s get this done mindset and the ability to thrive in a fast-paced and dynamic environment.
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Senior/Lead Data Engineer
100% Remote PST Hours
Looking for Sr/Lead level person Around 12-15 Years exp
Should have strong experience and hands-on experience in Sql, PySpark, Azure, Databricks, and ADLS.
Someone coming from a Sql/ETL/BI Development background, No big data/Hadoop background consulta
About the Role:
We are seeking a highly skilled and experienced Senior Data Engineer to join our dynamic team at KPI, working on challenging and multi-year data transformation projects. This is an excellent opportunity for a talented data engineer to play a key role in building innovative data solutions using Azure Native Services and related technologies. If you are passionate about working with large-scale data systems and enjoy solving complex engineering problems, this role is for you.
Key Responsibilities:
- Data Engineering : Design, development, and implementation of data pipelines and solutions using PySpark, SQL, and related technologies.
- Collaboration: Work closely with cross-functional teams to understand business requirements and translate them into robust data solutions.
- Data Warehousing: Design and implement data warehousing solutions, ensuring scalability, performance, and reliability.
- Continuous Learning: Stay up to date with modern technologies and trends in data engineering and apply them to improve our data platform.
- Mentorship: Provide guidance and mentorship to junior data engineers, ensuring best practices in coding, design, and development.
Must-Have Skills & Qualifications:
- Minimum 8+ years of overall experience in IT Industry.
- 4+ years of experience in data engineering, with a strong background in building large-scale data solutions.
- 4+ years of hands-on experience developing and implementing data pipelines using Azure stack experience (Azure, ADF, Databricks, Functions)
- Proven expertise in SQL for querying, manipulating, and analyzing large datasets.
- Strong knowledge of ETL processes and data warehousing fundamentals.
- Self-motivated and independent, with a let s get this done mindset and the ability to thrive in a fast-paced and dynamic environment.
Good-to-Have Skills:
- Databricks Certification is a plus.
- Data Modeling, Azure Architect Certification, CPG.