CapcoLead Big Data Engineer
Capco is hiring a Lead Big Data Engineer in Pune, India. Level rates it ; you can apply on Capco.
Level's read on this job
- Level rates this data engineer role Little AI ●○○○: aI is not part of the work.
- Tools and skills the posting cites include Spark, Scala and Python.
- Level classifies it as a lead role.
- Level lists 703 other open roles at Capco.
AI in this role
Build complex big data pipelines and petabyte-scale data architectures using Spark, Scala, Python, and SQL.
About Us
“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery.
WHY JOIN CAPCO?
You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.
MAKE AN IMPACT
Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.
#BEYOURSELFATWORK
Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.
CAREER ADVANCEMENT With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands. DIVERSITY & INCLUSION We believe that diversity of people and perspective gives us a competitive advantage.
MAKE AN IMPACT
Job Title: Big Data Engineer
Experience: 9yrs+ Years
Location: Pune/ Bengaluru/ Gurugram/ Chennai/ Hyderabad/ Mumbai
Base Skill Requirements:
• MUST Technical • 5+ years of experience in Data Warehouse/Data Lake/Lake House related projects in product or service-based organization
• Expertise in Data Engineering and implementing multiple end-to-end DW projects in Big Data environment handling petabyte scale data.
• Solid Experience of building complex data pipelines through Spark with Scala/Python/Java on Hadoop or Object storage
• Experience of working with Databases like Oracle, Netezza and have strong SQL knowledge.
• Proficient in working within an Agile/Scrum framework, including creating user stories with well-defined acceptance criteria, participating in sprint planning and reviews
• Optional Technical
• Experience of building Nifi pipelines (Preferred)
• Strong analytical skills required for debugging production issues, providing root cause and implementing mitigation plan
• Strong communication skills - both verbal and written
How we rate this
Lead Big Data Engineer at Capco rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in data engineer jobs at this level
Pay
- Typical data engineer job
- $150k
This posting doesn't list pay. Use the typical data engineer figure when pay comes up. See data engineer jobs
Questions you could be asked
- Tell me about a project where data engineering was part of your work. What did you do?
- Tell me about a project where big data was part of your work. What did you do?
- Tell me about a project where data warehousing was part of your work. What did you do?
- Tell me about a project where sql was part of your work. What did you do?
- Tell me about a project where etl was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Data Engineering, Big Data, Data Warehousing, SQL, and ETL. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Want an expert to read your CV for this job?
Free. Send your CV and the role you want next. You get your review by email within 24 hours.
Get new data engineer jobs by email
One email a week with the new data engineer jobs, each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.
Free. One email a week. Unsubscribe in one click.
Similar roles
Data roles that involve little AI, at other companies.
What kind of AI work fits you?
Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.
Find my next step