Job Description
- We are looking for a candidate with 2+ years of experience in a Data Engineer role for Mumbai location, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
- Advanced SQL and relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
- Strong analytic skills related to working with structured and unstructured datasets
- Performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
- Manipulating, processing and extracting value from large disconnected datasets
- Build processes supporting data transformation, data structures, metadata, dependency and workload management
- Big data tools like Hadoop, Spark, Kafka, etc.
- Message queuing, stream processing, and highly scalable - big data- data stores
- Building and optimizing - big data- data pipelines, architectures and data sets
- Relational SQL and NoSQL databases, including Postgres and Cassandra
- Development of data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
- AWS cloud services: EC2, EMR, RDS, Redshift
- Stream-processing systems: Storm, Spark-Streaming, etc.
- Object-oriented/object function scripting languages: Python, Scala, etc.
- Visualization tools- Tableau, Power BI, Qlik etc.
- We emphasize career development, providing our data engineers with constructive feedback and mentorship through their careers. Our goal is to help our people be successful professionals and grow with their teams.
- Rapid enhancement of skills with constant exposure to new industries and projects
- Diverse, dynamic and engaged data science environments
- To influence project direction and make significant contributions
- Opportunities to work closely with our industry and functional leads to elevate project delivery
- Constructive mentorship and career progression options
Job Responsibilities
- Create and maintain optimal data pipeline architecture
- Assemble large, complex data sets that meet functional / non-functional business requirements
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS - big data technologies
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics
- Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs
- Keep our data separated and secure across national boundaries through multiple data centers and AWS regions
- Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader
- Work with data and analytics experts to strive for greater functionality in our data system
Location
Gurgaon, Haryana, India