🔢 Crunching numbers...
Role: Data Engineer
Location: Santa Monica, Burbank, or Glendale (Hybrid, 4 days onsite; 1 day remote)
Key Responsibilities
● Assist in building and maintaining ETL/ELT pipelines for acquisition reporting using Databricks, PySpark, SQL, and Unity Catalog under the guidance of senior engineers.
● Support the migration of existing Snowflake SQL scripts and transformations into Databricks UC by updating queries, validating outputs, and helping implement governance best practices.
● Contribute to developing ingestion processes for marketing vendor data, including data parsing, normalization, and basic quality validations.
● Implement and maintain foundational data quality checks, monitoring alerts, and issue triage workflows using Databricks, Snowflake, Airflow, and internal tooling.
● Partner with the Data Reliability Engineering team to assist with SLA monitoring, simple incident troubleshooting, and logging improvements.
● Collaborate with analytics and marketing partners to understand data requirements and ensure accuracy of datasets used in dashboards and reporting.
● Support performance tuning, logging improvements, and general pipeline reliability work.
● Participate in engineering best practices, including code reviews, documentation, and contributing to shared frameworks and tools.
Basic Qualifications
● 4+ years of experience as a Data Engineer or similar role.
● Strong proficiency in SQL (analytical SQL, complex joins, window functions).
● Hands-on experience with PySpark and/or Spark SQL in production.
● Good understanding of data modeling, ETL/ELT design patterns, and distributed data processing.
● Experience building pipelines in Databricks, including Delta Lake, Unity Catalog, data governance, and Lakehouse patterns.
● Experience in AWS (S3, IAM, EC2, Glue, Lambda, or related services).
● Experience with Airflow or similar orchestration tools.
● Experience building robust ingestion pipelines and working with semi‑structured formats (JSON, Parquet, CSV).
● Experience with Git/GitHub, CI/CD, and modern DevOps practices.
● Excellent communication skills and ability to work with cross‑functional partners.
Based on the job description, tell me what the top 5 must have skills needed for this role?
● 4+ years of experience as a Data Engineer or similar role.
● Strong proficiency in SQL (analytical SQL, complex joins, window functions).
● Hands-on experience with PySpark and/or Spark SQL in production.
● Good understanding of data modeling, ETL/ELT design patterns, and distributed data processing.
● Experience building pipelines in Databricks, including Delta Lake, Unity Catalog, data governance, and Lakehouse patterns.
MARICI Solutions is a global business consulting organization, where inspired & visionary people with a shared passion for innovation come together to make a difference. We take a holistic approach from various perspectives to deliver measurable results along the entire value chain. We work closely with our clients and provide distinct advantages to sustainably transform their business processes, which eventually grow their businesses.
Driven by the passion of offering state of the art, customized and high-quality information technology services, our experts from Germany & India came together in 2017 and formed MARICI Solutions GmbH. The company is registered in Germany & India and well funded for long term sustenance. The team at MARCI comprises of experts from various industry sectors who have more than a decade of diverse & international consulting experience. MARICI is expanding its business across multiple continents and has secured various projects from some of the eminent market giants.
We believe that Excellence, Collaboration, Commitment and Innovation are foundations for success.
By Collaborating with our stakeholders, we identify opportunities for growth and Innovation. Ongoing innovation results from a combination of strategy, processes, systems, and culture. Through our Commitment to Excellence, we accomplish complex assignments and inspire people to do great things together.
To see how well you match this job, please log in or create an account.
Once logged in, be sure to complete your profile to get the most accurate match score.
Hybrid in San Francisco, California
•
Yesterday
Hiring: Databricks Solution Architect Location: San Francisco, CA Work Mode: Hybrid Experience: 12+ Years Databricks Experience: 5+ Years Looking for an experienced Solution Architect to lead enterprise data platform architecture, cloud modernization, and large-scale data initiatives. Interested candidates, please share your updated resumes and LinkedIn profile to
Easy Apply
Contract
Depends on Experience
Hybrid in Minneapolis, Minnesota
•
Yesterday
DBX Leader/ Solution Architect (Minneapolis) Location: Hybrid, Minneapolis, MN Duration: 6 Month C2H About the Role EXL Service is seeking an accomplished Lead Solution Cloud Architect with 1215 years of progressive experience in designing, implementing, and governing enterprise cloud and data architectures. The ideal candidate brings deep expertise in Azure and Databricks, with strong architectural leadership capabilities. This is a senior/lead role responsible for shaping cloud strategy, gui
Easy Apply
Contract, Third Party
Depends on Experience
New York, New York
•
11d ago
# Job Description: AWS Data & Solution Engineer **Location:** New York City, NY **Work Mode:** Hybrid 2 3 days onsite per week **Experience:** 10+ Years ## Job Summary We are seeking a Senior AWS Data & Solution Engineer with strong hands-on expertise in Python, PySpark, and AWS cloud services to design, develop, and optimize enterprise-scale data solutions for a Fortune 500 client. The role focuses on building an enterprise data lake on AWS, developing scalable data pipelines, implementing ev
Easy Apply
Full-time
$40,000 - $160,000
