Job Description

It\'s fun to work at a company where people truly believe in what theyare doing! : Job Title: Senior Data Engineer Division: Legal Solutions Department: EDS Location: Hyderabad Reports To: Software Development Manager Date Updated : May 2023 Summary We are seeking a highly skilled Data Engineer with good knowledge of ML for designing, implementing, and maintaining the data infrastructure and pipelines for our company\'s machine learning operations. As a Senior Data Engineer with Knowledge of ML, you will work closely with data scientists, software engineers, QA engineers, DevOps engineers, and other stakeholders to ensure that the data infrastructure and pipelines are scalable, secure, and efficient. You will also be responsible for implementing and maintaining data needs for the machine learning models in production. Job Responsibilities: Collecting and organizing large sets of data from various sources. Cleaning and preprocessing data to ensure accuracy and consistency. Analyzing data to identify patterns, trends, and insights. Developing and maintaining data dashboards and other tools to monitor key performance indicators. Collaborating with other data engineers and data scientists to ensure data quality and accuracy. Conducting ad-hoc analysis to answer specific business questions. Design, implement, and maintain the data infrastructure and pipelines for machine learning operations. Develop and maintain the tools and frameworks necessary for data engineering and machine learning operations. Communicating insights and recommendations to stakeholders in a clear and concise manner. Stay up to date with the latest advancements in data engineering and machine learning and recommend new tools and techniques to improve our operations Requirements / Skills : Bachelors / master\'s degree in information or computer science required - B.Tech, MCA, MS Computers. 5+ years of experience in data engineering or related field Strong programming skills in Python, Java, or other programming languages Experience with data technologies such Data Integration/ETL, Data Profiling & Data Quality Experience with cloud-based infrastructure such as AWS, Google Cloud, or Microsoft Azure Familiarity with ML frameworks such as TensorFlow, PyTorch, or scikit-learn Familiarity with Metadata Management tools Strong analytical and problem-solving skills All-round communication skills and ability to work collaboratively. Competencies Integrity - Behaves in an honest, fair, and ethical manner shows consistency in words and actions does what she/he commits to doing respects the confidentiality of information or concerns shared by others is honest and forthright with people carries his/her fair share of the workload takes responsibility for own mistakes. Client Focus - Takes action with the clients, both internal and external, and sees their needs as a primary focus builds a sustaining collaborative and productive relationship with clients seeks to understand client situations, issues, expectations, etc. takes appropriate action to meet client needs and address concerns implements or utilizes methods to monitor and evaluate client feedback. Results-Driven - Sets stretch goals for personal and team accomplishment and works tenaciously to achieve those goals acts with a sense of urgency takes the initiative on actions identifies what needs to be done and takes action before being asked does more than what is normally required in a situation establishes metrics to monitor progress and measure success maintains focus by avoiding or overcoming roadblocks. Entrepreneurial Orientation - Proposes innovative business opportunities/ideas to customers and business partners encourages and supports entrepreneurial behavior in others demonstrates willingness to take calculated risks to achieve business goals. Decisiveness - Makes well-informed, effective, and timely decisions even when data is limited, or solutions produce unpleasant consequences perceives the impact and implications of decisions can make tough decisions. #LI-Hybrid #LI-LS1 If you like wild growth and working with happy, enthusiastic over-achievers, you\'ll enjoy your career with us! It is Epiq\'s policy to comply with all applicable equal employment opportunity laws by making all employment decisions without unlawful regard or consideration of any individual\'s race, religion, ethnicity, color, sex, sexual orientation, gender identity or expressions, transgender status, sexual and other reproductive health decisions, marital status, age, national origin, genetic information, ancestry, citizenship, physical or mental disability, veteran or family status or any other basis protected by applicable national, federal, state, provincial or local law. Epiq\'s policy prohibits unlawful discrimination based on any of these impermissible bases, as well as any bases or grounds protected by applicable law in each jurisdiction. In addition Epiq will take affirmative action for minorities, women, covered veterans and individuals with disabilities. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. Epiq is pleased to provide such assistance and no applicant will be penalized as a result of such a request. Pursuant to relevant law, where applicable, Epiq will consider for employment qualified applicants with arrest and conviction records.

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