Pune, Maharashtra, India
Information Technology
Full-Time
Pattern
Overview
Job Description:
Pattern values data and the engineering required to take full advantage of it. As a Data Engineer at Pattern, you will be working on business problems that have a huge impact on how the company maintains its competitive edge.
Essential Duties And Responsibilities
Pattern values data and the engineering required to take full advantage of it. As a Data Engineer at Pattern, you will be working on business problems that have a huge impact on how the company maintains its competitive edge.
Essential Duties And Responsibilities
- Develop, deploy, and support real-time, automated, scalable data streams from a variety of sources into the data lake or data warehouse.
- Develop and implement data auditing strategies and processes to ensure data quality; identify and resolve problems associated with large-scale data processing workflows; implement technical solutions to maintain data pipeline processes and troubleshoot failures.
- Collaborate with technology teams and partners to specify data requirements and provide access to data.
- Tune application and query performance using profiling tools and SQL or other relevant query languages.
- Understand business, operations, and analytics requirements for data
- Build data expertise and own data quality for assigned areas of ownership
- Work with data infrastructure to triage issues and drive to resolution
- Bachelor’s Degree in Data Science, Data Analytics, Information Management, Computer Science, Information Technology, related field, or equivalent professional experience
- Overall experience should be more than 4 years
- 3+ years of experience working with SQL
- 3+ years of experience in implementing modern data architecture-based data warehouses
- 2+ years of experience working with data warehouses such as Redshift, BigQuery, or Snowflake and understand data architecture design
- Excellent software engineering and scripting knowledge
- Strong communication skills (both in presentation and comprehension) along with the aptitude for thought leadership in data management and analytics
- Expertise with data systems working with massive data sets from various data sources
- Ability to lead a team of Data Engineers
- Experience working with time series databases
- Advanced knowledge of SQL, including the ability to write stored procedures, triggers, analytic/windowing functions, and tuning
- Advanced knowledge of Snowflake, including the ability to write and orchestrate streams and tasks
- Background in Big Data, non-relational databases, Machine Learning and Data Mining
- Experience with cloud-based technologies including SNS, SQS, SES, S3, Lambda, and Glue
- Experience with modern data platforms like Redshift, Cassandra, DynamoDB, Apache Airflow, Spark, or ElasticSearch
- Expertise in Data Quality and Data Governance
- Data Fanatics: Our edge is always found in the data
- Partner Obsessed: We are obsessed with partner success
- Team of Doers: We have a bias for action
- Game Changers: We encourage innovation
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