Middle Data Engineer
Middle Data Engineer
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Not Disclosed
Salary Not Disclosed
Job Description
What you will do
Designing and implementing efficient data pipelines (ETLs) to integrate data from various sources into Indeed s data platforms;
Designing and implementing data model changes that align with data standards;
Monitoring production data pipelines daily to ensure completion, maintain data quality, and address performance issues;
Reading and interpreting system logs to evaluate system health or perform root cause analysis;
Identifying pipeline issues and working with colleagues, vendors, and external teams to resolve;
Clearly communicating pipeline statuses with management and stakeholders.
Must haves
Ideally a bachelor s degree in computer science, computer engineering, or an engineering discipline;
5+ years of industry experience in software development and/or data engineering with strong expertise in fast-paced and deliver-focused environments;
Extensive production experience in SQL;
Experience with Snowflake and DBT is required;
Extensive experience building an ETL from scratch;
3+ years of experience with:
Python 3.x;
Airflow;
3+ years of hands-on experience with big data technologies (such as Redshift, Hive, Trino/Presto, or similar technologies);
Experience with modeling data;
Experience in Gitlab CI;
Experience in AWS cloud platform (SQS, S3 services);
Extensive experience in writing technical documentation.
Nice to haves
Experience in Athena;
Experience in Spark;
Experience in Tableau or Google Data Studio.
The benefits of joining us
Professional growth
Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.
Competitive compensation
We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.
A selection of exciting projects
Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.
Flextime
Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office whatever makes you the happiest and most productive.
Ideally a bachelor s degree in computer science, computer engineering, or an engineering discipline; 5+ years of industry experience in software development and/or data engineering with strong expertise in fast-paced and deliver-focused environments; Extensive production experience in SQL; Experience with Snowflake and DBT is required; Extensive experience building an ETL from scratch; 3+ years of experience with: Python 3.x; Airflow; 3+ years of hands-on experience with big data technologies (such as Redshift, Hive, Trino/Presto, or similar technologies); Experience with modeling data; Experience in Gitlab CI; Experience in AWS cloud platform (SQS, S3 services); Extensive experience in writing technical documentation.
Employment Type
Full Time
