채용
Benefits & Perks
•Learning
Required Skills
Data Engineering
SQL
Apache Spark
Hive
Project Role: Application Developer
Project Role Description: Design, build and configure applications to meet business process and application requirements.
Must have skills: Data Engineering
Good to have skills: NA
Minimum 7.5 year(s) of experience is required
Educational Qualification: 15 years full time education
Summary:
We are looking for a highly skilled and experienced ETL Lead with a strong background in Data Warehousing, ETL processes, and Big Data technologies. The ideal candidate should have hands-on experience with Cloudera tools, excellent SQL/PLSQL skills, and the ability to lead a team while working closely with clients in the Banking/Insurance domain.
Roles & Responsibilities:
- Design, develop, and maintain end-to-end Data Warehouse and ETL solutions.
- Work extensively with SQL, PLSQL, Oracle, Hadoop, and Cloudera Data Platform tools (Spark, Hive, Impala).
- Lead a team of 4+ engineers, guiding both technical and operational tasks.
- Manage daily operations and provide L1/L2/L3 support, ensuring no SLA breaches.
- Collaborate with clients to understand requirements and provide scalable, reliable solutions.
- Conduct team meetings, client discussions, and knowledge transfer (KT) sessions.
- Utilize Shell scripting, Unix commands, and have working knowledge of Java/Python for task automation and integration.
- Ensure the team follows best practices in coding, documentation, and support.
- Stay up to date with new technologies and demonstrate a willingness to learn as per client needs.
- Be available to work from client location and travel daily as required.
- Proficient in analysing and rewriting legacy systems.
- Solid team leadership skills with experience managing 4+ people.
- Excellent communication and interpersonal skills.
- Demonstrated ability to manage operations and support teams efficiently.
- Willingness to work from the client location and travel as required.
- Proactive and positive attitude toward learning and adopting new technologies.
- Strong analytical skills and solution-oriented mindset.
- Ability to work under minimal supervision in a fast-paced environment.
Professional & Technical Skills:
- 8+ years of experience in Data Warehousing and ETL Technologies.
- Strong expertise in SQL, PLSQL, Oracle, and Hadoop ecosystem.
- Hands-on experience with Spark, Hive, Impala on Cloudera Data Platform.
- Strong understanding of the Banking/Insurance domain.
- Understand legacy code and translate it effectively to modern technologies.
Additional Information:
- The candidate should have minimum 7.5 years of experience in Data Engineering.
- This position is based in Mumbai.
- A 15 years full time education is required.
15 years full time education
About Accenture
We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.At Accenture, we see well-being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best Workplaces™.Join Accenture to work at the heart of change.
Visit us at www.accenture.com
Equal Employment Opportunity Statement
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
Accenture is committed to providing veteran employment opportunities to our service men and women.
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Pros
Great learning and development opportunities
Supportive and collaborative work environment
Good career growth and networking opportunities
Cons
Need to be proactive in finding projects
Long hours during busy periods
Very competitive environment for advancement
Salary Ranges
33 data points
L2
L3
L4
L5
L6
L2 · Business Analyst L2
0 reports
$63,830
total / year
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Stock
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Bonus
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$82,979
Interview Experience
6 interviews
Difficulty
2.7
/ 5
Duration
14-28 weeks
Offer Rate
17%
Experience
Positive 0%
Neutral 50%
Negative 50%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical/Task-Based Interview
4
Final Interview
5
Offer
Common Questions
Technical Knowledge
Behavioral/STAR
Past Experience
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