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MNJ SOFTWARE

Senior Data Engineer - ETL/ Big Data/ Hadoop

MNJ SOFTWARE, Osage City, Kansas, United States, 66523

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Overview Senior Data Engineer - ETL/ Big Data/ Hadoop

at

MNJ SOFTWARE , you will participate in design, development and implementation of architectural deliverables of custom projects and products of

MNJ SOFTWARE . The role includes working closely with lead, testers, customers, project/product managers and designers.

About MNJ SOFTWARE MNJ SOFTWARE

is an IT services, business solutions and outsourcing organization that delivers real results to global businesses, ensuring a level of certainty no other firm can match.

MNJ SOFTWARE

offers a consulting-led, integrated portfolio of IT and IT-enabled services delivered through its Global Network Delivery Model, recognized as the benchmark of excellence in software development.

MNJ SOFTWARE

service offerings span business and technology consulting, application services, systems integration, product engineering, custom software development, maintenance, re-engineering, independent testing and validation services, IT infrastructure services and business process outsourcing.

MNJ SOFTWARE

takes pride in building strategic long-term client relationships.

MNJ SOFTWARE

is only hiring those authorized to work in the India and unable to provide visa sponsorship at this time.

Job Details

Job ID

J0136

Title

Senior Data Engineer - ETL/ Big Data/ Hadoop

Experience

3-6 yrs

Job Type

Permanent / Contract [Depends on Project Needs or C2H]

Position Type

Full time [Monday – Friday]. Employees are required to have flexibility to work any of our 9-hour shift schedules during our normal business hours of (6am - 10pm IST) or (6pm to 6am IST). It may be necessary, given the business need, to work occasional overtime [unpaid].

Qualification

ME/M.TECH/BE/B.TECH/MCA/M.Sc(IT) etc

Technical/Functional Skills

Commercial experience leading on client-facing projects, including working in close-knit teams.

5+ Years of experience working on projects within the cloud ideally AWS or Azure.

5+ Years of experience working with streaming architectures and patterns like Kafka, Kinesis, Flink, or Confluent.

Experience with open-source tools like Apache Airflow and Griffin.

Experience with DevOps and DataOps patterns and tools like Jenkins, Kubernetes, Docker and Terraform.

Data Warehousing experience with cloud products like Snowflake, Azure DW, or Redshift.

Experience building operational ETL data pipelines across a number of sources and constructing relational and dimensional data models.

Experience building automated data quality and testing into data pipelines.

Roles & Responsibilities

You have experience with client projects and in handling vast amounts of data - working on database design and development, data integration and ingestion, designing ETL architectures using a variety of ETL tools and techniques.

You are someone with a drive to implement the best possible solutions for clients and work closely with a highly skilled Data Science team.

Lead on projects from a data engineering perspective, working with our clients to model their data landscape, obtain data extracts and define secure data exchange approaches.

Plan and execute secure, good practise data integration strategies and approaches.

Acquire, Ingest and Process data from multiple sources and systems into Big Data platforms.

Create and manage data environments in the Cloud.

Personal Attributes

Must be Analytical and possess good problem-solving capabilities

Independent thinker

Location Remote (Work From Home)

Process Aptitude Tests, Technical Tests, Interviews, Medical Health Checkup.

Reimbursement Best in Industry

Certification Optional

Note We're an Equal Opportunity Employer : You will receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.

No Fee MNJ SOFTWARE

DOES NOT CHARGE A FEE AT ANY STAGE OF THE RECRUITMENT PROCESS (APPLICATION, INTERVIEW MEETING, PROCESSING, OR TRAINING).

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