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Data Engineer

3 months ago

bangalore, India SitusAMC Full time
SitusAMC is where the best and most passionate people come to transform our client’s businesses and their own careers. Whether you’re a real estate veteran, a passionate technologist, or looking to get your start, join us as we work together to realize opportunities for everyone, we proudly serve. At SitusAMC, we are looking to match your unique experience with one of our amazing careers, so that we can help you realize your potential and career growth within the Real Estate Industry. If you are someone who can be yourself, advocate for others, stay nimble, dream big, own every outcome, and think global but act local – come join our team

In this role much of the focus will be on building out our Python/pyspark ETL processes and writing efficient SQL to build data lakes, data marts. Beyond technical expertise, this role will need skills for clearly communicating highly complex data topics to organizational leaders. Someone willing to willing to learn new technologies and assist senior data engineers in accomplishing work as a team.

Data Engineer - As a data engineer, you will be wear many hats, but much of the focus will be on building out our Python/pyspark ETL processes and writing efficient SQL to build data lakes, data marts. Beyond technical expertise, you will need soft skills for clearly communicating highly complex data topics to organizational leaders. Someone willing to willing to learn new technologies and assist sr data engineers in accomplishing work as a team.

Essential Job Functions:

Gather data from primary and secondary sources, ensuring the up-to-date databases and data systems Work closely with our Product teams and data science team for easy and trusted data that provide unique insights into our data Build data pipelines that clean, transform, and aggregate data from disparate sources Develop data quality frameworks for ensuring data can be trusted Deploy data governance policies Use agile software development processes to make iterative improvements Define data work flows throughout the data system and to enable end to end of data analytics use cases implementation.

Qualifications/ Requirements:

Four-year college degree or equivalent combination of education and experience Mid-level professional with 2-4 years of industry and/or relevant experience, typically at an Analyst level role or external equivalent. Three or more years of experience with Python, Pyspark, SQL Experience in building or maintaining ETL processes/Data lakes / Data warehouses Familiarity with the cloud ecosystem, specifically Snowflake/ Azure / AWS Communication skills, especially for explaining technical concepts to nontechnical business leaders Ability to work on a dynamic, research-oriented team that has concurrent projects

Special Requirements:

·The employee may be required to report to a different local office as a normal, contemplated, and mandated incident of their employment


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