Big Data Engineer

• You will work alongside the Project Management to ensure alignment of plans with what is being
delivered.
• You will utilize your configuration management and software release experience; as well as
change management concepts to drive the success of the projects.
• You will partner with senior leaders to understand and communicate the business needs to
translate them into IT requirements. Consult with Customer’s Business Analysts on their Data
warehouse requirements
• You will assist the technical team in identification and resolution of Data Quality issues.
• You will manage small to medium-sized projects relating to the delivery of applications or
application changes.
• You will use Managed Services or 3rd party resources to meet application support requirements.
• You will interface daily with multi-functional team members within the EDW team and across the
enterprise to resolve issues.
• Recommend and advocate different approaches and designs to the requirements
• Write technical design docs
• Execute Data modelling
• Solution inputs for the presentation layer
• You will craft and generate summary, statistical, and presentation reports; as well as provide reporting and metrics for strategic initiatives.
• Performs miscellaneous job-related duties as assigned

Preferred Qualifications

• Strong interpersonal, teamwork, organizational and workload planning skills
• Strong analytical, evaluative, and problem-solving abilities as well as exceptional customer service orientation
• Ability to drive clarity of purpose and goals during release and planning activities
• Excellent organizational skills including ability to prioritize tasks efficiently with high level of attention to detail
• Excited by the opportunity to continually improve processes within a large company
• Healthcare background/ Automobile background.
• Familiarity with major big data solutions and products available in the market.
• Proven ability to drive continuous

To introduce myself I head Global Faculty Acquisition for Simplilearn. About My Company: SIMPLILEARN is a company which has transformed 500,000+ carriers across 150+ countries with 400+ courses and yes we are a Registered Professional Education Provider providing PMI-PMP, PRINCE2, ITIL (Foundation, Intermediate & Expert), MSP, COBIT, Six Sigma (GB, BB & Lean Management), Financial Modeling with MS Excel, CSM, PMI - ACP, RMP, CISSP, CTFL, CISA, CFA Level 1, CCNA, CCNP, Big Data Hadoop, CBAP, iOS, TOGAF, Tableau, Digital Marketing, Data scientist with Python, Data Science with SAS & Excel, Big Data Hadoop Developer & Administrator, Apache Spark and Scala, Tableau Desktop 9, Agile Scrum Master, Salesforce Platform Developer, Azure & Google Cloud. : Our Official website : www.simplilearn.com If you're interested in teaching, interacting, sharing real life experiences and passion to transform Careers, please join hands with us. Onboarding Process • Updated CV needs to be sent to my email id , with relevant certificate copy. • Sample ELearning access will be shared with 15days trail post your registration in our website. • My Subject Matter Expert will evaluate you on your areas of expertise over a telephonic conversation - Duration 15 to 20 minutes • Commercial Discussion. • We will register you to our on-going online session to introduce you to our course content and the Simplilearn style of teaching. • A Demo will be conducted to check your training style, Internet connectivity. • Freelancer Master Service Agreement Payment Process : • Once a workshop/ Last day of the training for the batch is completed you have to share your invoice. • An automated Tracking Id will be shared from our automated ticketing system. • Our Faculty group will verify the details provided and share the invoice to our internal finance team to process your payment, if there are any additional information required we will co-ordinate with you. • Payment will be processed in 15 working days as per the policy this 15 days is from the date of invoice received. Please share your updated CV to get this for next step of on-boarding process.

2+ years of Analytics with predominant experience in SQL, SAS, Statistics, R , Python, Visualization
Experienced in writing complex SQL select queries (window functions & CTE’s) with advanced SQL experience
Should be an individual contributor for initial few months based on project movement team will be aligned
Strong in querying logic and data interpretation
Solid communication and articulation skills
Able to handle stakeholders independently with less interventions of reporting manager
Develop strategies to solve problems in logical yet creative ways
Create custom reports and presentations accompanied by strong data visualization and storytelling

Job Description

• Design, development and deployment of highly-available and fault-tolerant enterprise business software at scale.

• Demonstrate tech expertise to go very deep or broad in solving classes of problems or creating broadly leverage-able solutions.

• Execute large-scale projects - Provide technical leadership in architecting and building product solutions.

• Collaborate across teams to deliver a result, from hardworking team members within your group, through smart technologists across lines of business.

• Be a role model on acting with good judgment and responsibility, helping teams to commit and move forward.

• Be a humble mentor and trusted advisor for both our talented team members and passionate leaders alike. Deal with differences in opinion in a mature and fair way.

• Raise the bar by improving standard methodologies, producing best-in-class efficient solutions, code, documentation, testing, and monitoring.

Qualifications

      • 15+ years of relevant engineering experience.

• Proven record of building and productionizing highly reliable products at scale.

• Experience with Java and Python

• Experience with the Big Data technologie is a plus.

• Ability to assess new technologies and make pragmatic choices that help guide us towards a long-term vision

• Can collaborate well with several other engineering orgs to articulate requirements and system design

Additional Information

Professional Attributes:
• Team player!

• Great interpersonal skills, deep technical ability, and a portfolio of successful execution.

• Excellent written and verbal communication skills, including the ability to write detailed technical documents.

• Passionate about helping teams grow by inspiring and mentoring engineers.

3+ years of professional work experience with a reputed analytics firm
 Expertise in handling large amount of data through Python or PySpark
 Conduct data assessment, perform data quality checks and transform data using SQL
and ETL tools
 Experience of deploying ETL / data pipelines and workflows in cloud technologies and
architecture such as Azure and Amazon Web Services will be valued
 Comfort with data modelling principles (e.g. database structure, entity relationships, UID
etc.) and software development principles (e.g. modularization, testing, refactoring, etc.)
 A thoughtful and comfortable communicator (verbal and written) with the ability to
facilitate discussions and conduct training
 Track record of strong problem-solving, requirement gathering, and leading by example
 Ability to thrive in a flexible and collaborative environment
 Track record of completing projects successfully on time, within budget and as per scope

Skill Set 
SQL, Python, Numpy,Pandas,Knowledge of Hive and Data warehousing concept will be a plus point.

JD 

- Strong analytical skills with the ability to collect, organise, analyse and interpret trends or patterns in complex data sets and provide reports & visualisations.

- Work with management to prioritise business KPIs and information needs Locate and define new process improvement opportunities.

- Technical expertise with data models, database design and development, data mining and segmentation techniques

- Proven success in a collaborative, team-oriented environment

- Working experience with geospatial data will be a plus.

Should be experienced in building Machine learning pipelines.   Should be proficient in Python and scientific packages like pandas, numpy, scikit, matplotlib, etc. Experience with techniques such as Data mining, Distributed Computing, Applied Mathematics and Algorthims, Probablity & statistics, Strong problem solving and conceptual thinking abilities Hands on experience in Model building Building highly customized and optimized data pipelines integrating third party API’s and inhouse data sources. Extracting features from text data using tools like Scapy Deep learning for NLP using any modern framework

Description Does solving complex business problems and real world challenges interest you Do you enjoy seeing the impact your contributions make on a daily basis Are you passionate about using data analytics to provide game changing solutions to the Global 2000 clients Do you thrive in a dynamic work environment that constantly pushes you to be the best you can be and more Are you ready to work with smart colleagues who drive for excellence in everything they do If you possess a solutions mindset, strong analytical skills, and commitment to be part of a tremendous journey, come join our growing, global team. See what Saama can do for your career and for your journey. Position: Data Scientist (2255) Location: Hinjewadi Phase 1, Pune Type: Permanent Full time Responsibilities: Work on small and large data sets of structured, semi-structured, and unstructured data to discover hidden knowledge about the client s business and develop methods to leverage that knowledge for their business. Identify and solve business challenges working closely with cross-functional teams, such as Delivery, Business Consulting, Engineering and Product Management. Develop prescriptive and predictive statistical, behavioral or other models via machine learning and/ or traditional statistical modeling techniques, and understand which type of model applies best in a given business situation. Drive the collection of new data and the refinement of existing data sources. Analyze and interpret the results of product experiments. Provide input for engineering and product teams as they develop and support our internal data platform to support ongoing statistical analyses. Requirements: Candidates should demonstrate following expertize- Must have Direct Hands-on, 7 years of experience, building complex systems using any Statistical Programming Language (R / Python / SAS) Must have fundamental knowledge of Inferential Statistics Should have worked on Predictive Modelling Experience should include the following, o File I/ O, Data Harmonization, Data Exploration o Multi-Dimensional Array Processing o Simulation & Optimization Techinques o Machine Learning Techniques (Supervised, Unsupervised) o Artificial Intelligence and Deep Learning o Natural Language Processing o Model Ensembling Techniques o Documenting Reproducible Research o Building Interactive Applications to demonstrate Data Science Use Cases Prior experience in Healthcare Domain, is a plus Experience using Big Data, is a plus. Exposure to SPARK is desirable Should have Excellent Analytical, Problem Solving ability. Should be able to grasp new concepts quickly Should be well familiar with Agile Project Management Methodology Should have experience of managing multiple simultaneous projects Should have played a team lead role Should have excellent written and verbal communication skills Should be a team player with open mind Impact on the business: Plays an important role in making Saama s Solutions game changers for our strategic partners by using data science to solve core, complex business challenges. Key relationships: Sales & pre-sales Product management Engineering Client organization: account management & delivery Saama Competencies: INTEGRITY: we do the right things. INNOVATION: we change the game. TRANSPARENCY: we communicate openly COLLABORATION: we work as one team PROBLEM-SOLVING: we solve core, complex business challenges ENJOY & CELEBRATE: we have fun Competencies: Self-starter who gets results with minimal support and direction in a fast-paced environment. Takes initiative; challenges the status quo to drive change. Learns quickly; takes smart risks to experiment and learn. Works well with others; builds trust and maintains credibility. Planful: identifies and confirms key requirements in dynamic environments; anticipates tasks and contingencies. Communicates effectively; productive communication with clients and all key stakeholders communication in both verbal and written communication. Stays the course despite challenges & setbacks. Works well under pressure. Strong analytical skills; able to apply inductive and deductive thinking to generate solutions for complex problems