3. Key Result Areas · Create and maintain optimal data pipeline, · Assemble large, complex data sets that meet functional / non-functional business requirements. · Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. · Keep our data separated and secure · Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader. · Build analytics tools that utilize the data pipeline to provide actionable insights into key business performance metrics. · Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs. · Work with data and analytics experts to strive for greater functionality in our data systems 4. Knowledge, Skills and Experience Core Skills: We are looking for a candidate with 7+ years of experience in a Data Engineer role. They should also have experience using the following software/tools: · Experience in developing Big Data applications using Spark, Hive, Sqoop, Kafka, and Map Reduce · Experience with stream-processing systems: Spark-Streaming, Strom etc. · Experience with object-oriented/object function scripting languages: Python, Scala etc · Experience in designing and building dimensional data models to improve accessibility, efficiency, and quality of data · Should be proficient in writing Advanced SQLs, Expertise in performance tuning of SQLs. Experience with data science and machine learning tools and technologies is a plus · Experience with relational SQL and NoSQL databases, including Postgres and Cassandra. · Experience with Azure cloud services is a plus · Financial Services Knowledge is a plus
What You'll Do :- Develop analytic tools, working on BigData and Distributed Environment. Scalability will be the key- Provide architectural and technical leadership on developing our core Analytic platform- Lead development efforts on product features on Java- Help scale our mobile platform as we experience massive growthWhat we Need :- Passion to build analytics & personalisation platform at scale- 3 to 9 years of software engineering experience with product based company in data analytics/big data domain- Passion for the Designing and development from the scratch.- Expert level Java programming and experience leading full lifecycle of application Dev.- Exp in Analytics, Hadoop, Pig, Hive, Mapreduce, ElasticSearch, MongoDB is an additional advantage- Strong communication skills, verbal and written
www.aaknet.co.in/careers/careers-at-aaknet.html You are extra-ordinary, a rock-star, hardly found a place to leverage or challenge your potential, did not spot a sky rocketing opportunity yet? Come play with us – face the challenges we can throw at you, chances are you might be humiliated (positively); do not take it that seriously though! Please be informed, we rate CHARACTER, attitude high if not more than your great skills, experience and sharpness etc. :) Best wishes & regards, Team Aak!
Good understanding of OOP with Strong Coding skills in Java. Database knowledge: good knowledge of SQL queries. Should have worked on highly distributed systems. Strong in Data Structures & Algorithms, Analytical and Problem solving skills. Hands on experience in GNU/Linux (Unix env). Able to work with minimal supervision and in a team environment.