Apar Technologies
Senior Data Engineer
Apar Technologies - San Francisco, California, United States, 94199
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Job Title: Data Engineer Location: Seattle, Santa Monica, New York, or San Francisco | Onsite/ Hybrid 4 days per week | Type: Fulltime Key Points: Experience with Scala or Python DataBricks/Hadoop Spark Airflow SQL Experience with Snowflake and how you have used it in past projects Open to the HackerRank test Basic Qualifications: 5+ years of relevant data engineering experience Strong understanding of data modeling principles including Dimensional modeling and data normalization principles Good understanding of SQL Engines and ability to conduct advanced performance tuning Ability to think strategically, analyze, and interpret market and consumer information Strong communication skills – written and verbal presentations Excellent conceptual and analytical reasoning competencies Comfortable working in a fast-paced and highly collaborative environment Familiarity with Agile Scrum principles and ceremonies Preferred Qualifications: 2+ years of work experience implementing and reporting on business key performance indicators in data warehousing environments 2+ years of experience using analytic SQL, working with traditional relational databases and/or distributed systems (Snowflake or Redshift) 1+ years of experience with programming languages (e.g., Python, Pyspark) 1+ years of experience with data orchestration/ETL tools (Airflow, Nifi) Experience with Snowflake, Databricks/EMR/Spark, and/or Airflow Required Education: Degree in computer science or information systems Additional Information:
Onsite/ Hybrid 4 days per week - in order of preference: Seattle, Santa Monica, New York or San Francisco. Intake Notes: Development experience with Airflow, Snowflake, and Databricks At least five years of relevant recent experience with the mentioned tech stack Proficiency in Python, as the interview process includes a Python coding test on HackerRank Seniority Level
Mid-Senior level Employment Type
Full-time Job Function
Industries: IT Services and IT Consulting Referrals increase your chances of interviewing at Apar Technologies by 2x
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Job Title: Data Engineer Location: Seattle, Santa Monica, New York, or San Francisco | Onsite/ Hybrid 4 days per week | Type: Fulltime Key Points: Experience with Scala or Python DataBricks/Hadoop Spark Airflow SQL Experience with Snowflake and how you have used it in past projects Open to the HackerRank test Basic Qualifications: 5+ years of relevant data engineering experience Strong understanding of data modeling principles including Dimensional modeling and data normalization principles Good understanding of SQL Engines and ability to conduct advanced performance tuning Ability to think strategically, analyze, and interpret market and consumer information Strong communication skills – written and verbal presentations Excellent conceptual and analytical reasoning competencies Comfortable working in a fast-paced and highly collaborative environment Familiarity with Agile Scrum principles and ceremonies Preferred Qualifications: 2+ years of work experience implementing and reporting on business key performance indicators in data warehousing environments 2+ years of experience using analytic SQL, working with traditional relational databases and/or distributed systems (Snowflake or Redshift) 1+ years of experience with programming languages (e.g., Python, Pyspark) 1+ years of experience with data orchestration/ETL tools (Airflow, Nifi) Experience with Snowflake, Databricks/EMR/Spark, and/or Airflow Required Education: Degree in computer science or information systems Additional Information:
Onsite/ Hybrid 4 days per week - in order of preference: Seattle, Santa Monica, New York or San Francisco. Intake Notes: Development experience with Airflow, Snowflake, and Databricks At least five years of relevant recent experience with the mentioned tech stack Proficiency in Python, as the interview process includes a Python coding test on HackerRank Seniority Level
Mid-Senior level Employment Type
Full-time Job Function
Industries: IT Services and IT Consulting Referrals increase your chances of interviewing at Apar Technologies by 2x
#J-18808-Ljbffr