Data Engineer - ETL
Akaasa Technologies
Data Engineer ETL
Location: Remote (Candidates must be available for an in-person interview or laptop pickup at one of the following locations: San Francisco, CA | Arlington, VA | Denver, CO | Chicago, IL | Boston, MA | New York, NY | Houston, TX | Miami, FL | Los Angeles, CA | Seattle, WA | Dallas, TX | Minneapolis, MN | Birmingham, MI | Irvine, CA)
Duration: 6 10 Months
Interview : In-person on any of the mentioned location
Note:
- Must be local with DL copy
- LinkedIn with location and photo (before 2023)
Must-Have Skills
- Azure Data Factory (ADF)
- Azure Databricks
- ETL/ELT Development
- SQL
- Python, Scala, or Java
- Spark
Position Overview
We are seeking an experienced Data Engineer to design, build, and optimize scalable data solutions that support enterprise analytics, reporting, and business intelligence initiatives. The ideal candidate will have strong hands-on experience with Azure Data Factory (ADF) and Azure Databricks , along with expertise in ETL/ELT development, cloud-based data platforms, and modern data architectures.
Required Qualifications
- Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience).
- 5+ years of Data Engineering, Platform Engineering, or Backend Engineering experience.
- Strong SQL and data modeling expertise.
- Hands-on experience with Azure Data Factory (ADF) and Azure Databricks ( Required ).
- Strong programming skills in Python, Scala, or Java.
- Experience with Spark or other distributed data processing frameworks.
- Experience building data solutions on Azure, AWS, or GCP.
- Strong understanding of data warehouses, data lakes, and modern analytics ecosystems.
- Experience with Git, CI/CD pipelines, and DevOps practices.
- Excellent analytical, troubleshooting, and problem-solving skills.
Preferred Qualifications
- Experience with Kafka or other streaming platforms.
- Experience with workflow orchestration tools such as Airflow or ADF.
- Knowledge of data governance, security, and compliance.
- Experience supporting BI, analytics, or machine learning workloads.
- Experience mentoring junior engineers or leading technical initiatives.
Key Skills: Azure Data Factory (ADF), Azure Databricks, ETL, ELT, SQL, Python, Scala, Java, Spark, Data Modeling, Data Lakes, Data Warehousing, Azure, CI/CD, DevOps.
Vacancy posted 1 day ago
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