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Data Engineer
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Pune
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About Us
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We empower enterprises globally through intelligent, creative, and insightful services for data integration, data analytics and data visualization.
Hoonartek is a leader in enterprise transformation, data engineering and an acknowledged world-class Ab Initio delivery partner.
Using centuries of cumulative experience, research and leadership, we help our clients eliminate the complexities & risk of legacy modernization and safely deliver big data hubs, operational data integration, business intelligence, risk & compliance solutions and traditional data warehouses & marts.
At Hoonartek, we work to ensure that our customers, partners and employees all benefit from our unstinting commitment to delivery, quality and value. Hoonartek is increasingly the choice for customers seeking a trusted partner of vision, value and integrity
How We Work?
Define, Design and Deliver (D3) is our in-house delivery philosophy. It’s culled from agile and rapid methodologies and focused on ‘just enough design’. We embrace this philosophy in everything we do, leading to numerous client success stories and indeed to our own success.
We embrace change, empowering and trusting our people and building long and valuable relationships with our employees, our customers and our partners. We work flexibly, even adopting traditional/waterfall methods where circumstances demand it. At Hoonartek, the focus is always on delivery and value.
Job Description
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Data engineering is an enabler and is about getting the right data to the right place at the right time. Key tasks for you will include: the integration of data from source systems, other internal datasets and external data sources. You will be responsible for designing and building our ETL pipelines, constructing domain warehouses and provisioning data through a MS Azure cloud on our Global Data Platform.
You will work closely with the Information Data Governance team, instilling best practice. Other key customers include data scientists and Business Intelligence teams.
We increasingly work in a fast-paced, agile, and continuous delivery environment. The right candidate for this position will be motivated by this challenge and will help to develop our future ways of working.
Role and Responsibilities includes:
- Analyse and organize raw data from a wide variety of data sources to build data systems and pipelines
- Evaluate business needs and objectives to create and maintain optimal data pipeline architecture
- Understand the technical environment, platforms and other dependencies of the project
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics
- Hands-on development experience on Hadoop, spark, Hive, H-Base, Kafka
- Experience in ELK stack
- Experience in NoSQL databases like Cassandra, MongoDB etc
- Cloud experience (Azure(preferred) or AWS)
- Experience in application, data, and infrastructure architecture disciplines
- Translate, load, and exhibit unrelated data sets in various formats and sources like JSON, text files, Kafka queues, and log data.
- Proven design, coding, testing, and debugging skills and experience.
- Experience in end-to-end release of highly reliable applications including design, development, and testing.
- Understanding of Linux OS core principles, performance and tuning
- A solid understanding of database design and data manipulation
- Experience in building data processing, ETL and data pipelining workflows
- Understand and validate the proposed technical solution to the project and escalate in case of issues or new ideas.
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Job Requirement
This role would suit someone with a good depth of experience gained as a Data Engineer, as well as the following:
- Degree, MSc or PhD in a numerate or scientific discipline (e.g. Computer Science, Physics, Mathematics etc)
- A good understanding of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools
- Azure experience, including expert understanding of Azure Data Lakes
- Experience in the extraction of data from SQL servers
- Must have experience in at least two programming languages among Java, Scala or Python
- Experience in wider financial services or insurance sector is preferred.
- High level of accuracy and attention to detail and the ability to simplify problems into component parts and deal with them systematically
- Understanding of Meta-data driven data ingestion using Kafka
- Experience in coaching / mentoring less experienced engineers through technical problem solving
- Strong customer / value focus
- Driven to deliver business value
- Desirable but not essential - understanding of Postgres databases
- Desirable but not essential - experience of data visualization tools (QlikSense etc)
