Data Engineer – Senior Consultant

Lingaro; India; Hybrid; INR 1,800,000 - 2,500,000; Full time

Benefits offered by this job

Unlimited access to the Udemy learning platform

Certificate training programs

Flexible working hours

Job summary

Lingaro is seeking a seasoned data engineering professional with a minimum of 8 years of experience. This role involves providing technical expertise, collaborating with stakeholders to define project requirements, and ensuring compliance with security standards. Ideal candidates will have proficiency in Python, SQL, and Azure cloud services.

We offer a flexible work environment, comprehensive training, and a commitment to diversity and inclusion, enabling you to thrive as we grow together.

Qualifications

• Minimum of 8 years of experience in data engineering or related field.
• Strong technical skills in data engineering.
• Familiarity with Azure Databricks, Data Factory, Data Lake.

Responsibilities

• Provide technical expertise and direction in data engineering.
• Collaborate with stakeholders on project requirements and planning.
• Optimize data processing and storage for cost savings.

Skills

Technical expertise in data engineering

Proficiency in Python, SQL, Pyspark

Knowledge of Azure cloud services

Experience with various data tools

Excellent problem-solving skills

Strong communication skills

Continuous learning mindset

Education

Bachelor's or master's degree in Computer Science or related field

Tools

ETL frameworks

Data pipelines

Data warehousing solutions

Job description

Growth through diversity, equity, and inclusion. As an ethical business, we do what is right — including ensuring equal opportunities and fostering a safe, respectful workplace for each of us. We believe diversity fuels both personal and business growth. We're committed to building an inclusive community where all our people thrive regardless of their backgrounds, identities, or other personal characteristics.

Tasks:

Provide technical expertise and direction in data engineering, guiding the team in selecting appropriate tools, technologies, and methodologies. Stay updated with the latest advancements in data engineering and ensure the team follows best practices and industry standards.

Collaborate with stakeholders to understand project requirements, define scope, and create project plans.

Support project managers to ensure that projects are executed effectively, meeting timelines, budgets, and quality standards. Monitor progress, identify risks, and implement mitigation strategies.

Oversee the design and architecture of data solutions, collaborating with data architects and other stakeholders. Ensure data solutions are scalable, efficient, and aligned with business requirements. Provide guidance in areas such as data modeling, database design, and data integration.

Align coding standards, conduct code reviews to ensure proper code quality level.

Identify and introduce quality assurance processes for data pipelines and workflows.

Optimize data processing and storage for performance, efficiency and cost savings.

Evaluate and implement new technologies to improve data engineering processes on various aspects (CICD, Quality Assurance, Coding standards).

Maintain technical documentation of the project, control validity and perform regular reviews of it.

Ensure compliance with security standards and regulations.

What we're looking for:

A Bachelor's or master's degree in Computer Science, Information Systems, or a related field is typically required. Additional certifications in cloud are advantageous.

• Minimum of 8 years of experience in data engineering or a related field.
• Strong technical skills in data engineering, including proficiency in programming languages such as Python, SQL, Pyspark.
• Familiarity with Azure cloud platform viz. Azure Databricks, Data Factory, Data Lake etc., and experience in implementing data solutions in a cloud environment.
• Expertise in working with various data tools and technologies, such as ETL frameworks, data pipelines, and data warehousing solutions.
• In-depth knowledge of data management principles and best practices, including data governance, data quality, and data integration.
• Excellent problem-solving and analytical skills, with the ability to identify and resolve complex data engineering issues.
• Knowledge of data security and privacy regulations, and the ability to ensure compliance within data engineering projects.
• Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams, stakeholders, and senior management.
• Continuous learning mindset, staying updated with the latest advancements and trends in data engineering and related technologies.
• Consulting exposure, with external customer focus mindset is preferred.

What Will Set You Apart:

Consulting exposure, with external customer focus mindset is preferred.

Missing one or two of these qualifications? We still want to hear from you! If you bring a positive mindset, we'll provide an environment where you feel valued and empowered to learn and grow.

We offer:

Stable employment. On the market since 2008, 1500+ talents currently on board in 7 global sites.

“Office as an option” model. You can choose to work remotely or in the office, depending on your location.

Flexibility regarding working hours and your preferred form of contract.

Comprehensive online onboarding program with a “Buddy” from day 1.

Cooperation with top-tier engineers and experts.

Unlimited access to the Udemy learning platform from day 1.

Certificate training programs. Lingarians earn 500+ technology certificates yearly.

Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly.

Internal Gallup Certified Strengths Coach to support your growth.

Grow as we grow as a company. 76% of our managers are internal promotions.

A diverse, inclusive, and values-driven community.

Autonomy to choose the way you work. We trust your ideas.

Create our community together. Refer your friends to receive bonuses.

Activities to support your well-being and health.

Plenty of opportunities to donate to charities and support the environment.

Modern office equipment. Purchased for you or available to borrow, depending on your location.