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Job Location: Bangalore/Bengaluru
Job Opening for Senior or Principal Data Engineer at Financial Product Domain Company
About Convate Consultancy:
Estd in 2004, Convate (team of 60 recruiters) is a leading International Recruitment Company having operations in Bangalore and Dubai. We specialize in the recruitment of IT/Healthcare/Engineering in India and the Middle East. Convate provides learning-based work culture with a strong opportunity to grow in the years to come.
You can know more about us on Facebook – www.facebook.com/convate or visit our website www.convate.com
Job Location: Bangalore
Key Skills: Data Engineer, Python, SQL database, AWS, Bigdata/ hadoop, spark
Experience: 8 Years to 14 Years
Description:
We are looking for a savvy Data Engineer to join our growing team. The candidate will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams.
The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up.
The Data Engineer will support our software developers, database architects and data analysts on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our companys data architecture pipeline to support our next generation of products and data initiatives.
Responsibilities for Data Engineer:
- 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/Azure ‘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 cloud regions.
- Create data tools for analytics assist 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 systems.
Qualifications for Data Engineer:
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases including NoSQL.
- Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Strong analytic skills related to working with unstructured datasets.
- Build processes supporting data transformation, data structures, metadata, dependency and workload management.
- A successful history of manipulating, processing and extracting value from large disconnected datasets.
- Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
- Strong project management and organizational skills.
- Experience supporting and working with cross-functional teams in a dynamic environment.
- We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
- Experience with big data tools: Spark, Hadoop, etc.
- Experience with relational SQL and NoSQL databases, including Snowflake, Postgres, Cassandra, MongoDB, etc.
- Experience with data pipeline and workflow management tools: Airflow, Keboola, Stitch, Azkaban, Luigi, etc.
- Experience with AWS and Azure cloud services
- Experience with stream-processing systems: Kafka, Storm, Spark-Streaming, etc.
- Experience with object-oriented/object function scripting languages: Python, Scala, Golang, etc
If interested and relevant please share your updated CV on [email protected] with Below Details
Current CTC:
Expected CTC:
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